mirror of
https://github.com/ParisNeo/lollms-webui.git
synced 2024-12-30 00:58:50 +00:00
2502 lines
109 KiB
Python
2502 lines
109 KiB
Python
######
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# Project : lollms-webui
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# Author : ParisNeo with the help of the community
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# Supported by Nomic-AI
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# license : Apache 2.0
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# Description :
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# A front end Flask application for llamacpp models.
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# The official LOLLMS Web ui
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# Made by the community for the community
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######
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__author__ = "parisneo"
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__github__ = "https://github.com/ParisNeo/lollms-webui"
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__copyright__ = "Copyright 2023, "
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__license__ = "Apache 2.0"
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__version__ ="6.7"
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main_repo = "https://github.com/ParisNeo/lollms-webui.git"
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import os
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import sys
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from flask import request, jsonify
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import io
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import sys
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import time
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import traceback
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import webbrowser
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from pathlib import Path
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import os
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from lollms.utilities import AdvancedGarbageCollector
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def run_update_script(args=None):
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update_script = Path(__file__).parent/"update_script.py"
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# Convert Namespace object to a dictionary
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if args:
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args_dict = vars(args)
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else:
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args_dict = {}
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# Filter out any key-value pairs where the value is None
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valid_args = {key: value for key, value in args_dict.items() if value is not None}
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# Save the arguments to a temporary file
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temp_file = Path(__file__).parent/"temp_args.txt"
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with open(temp_file, "w") as file:
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# Convert the valid_args dictionary to a string in the format "key1 value1 key2 value2 ..."
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arg_string = " ".join([f"--{key} {value}" for key, value in valid_args.items()])
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file.write(arg_string)
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os.system(f"python {update_script}")
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sys.exit(0)
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from lollms.helpers import ASCIIColors, get_trace_exception, trace_exception
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try:
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import git
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import logging
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import argparse
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import json
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import traceback
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import subprocess
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import signal
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from lollms.config import InstallOption
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from lollms.binding import LOLLMSConfig, BindingBuilder
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from lollms.personality import AIPersonality
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from lollms.config import BaseConfig
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from lollms.paths import LollmsPaths, gptqlora_repo
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from api.db import Discussion
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from flask import (
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Flask,
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jsonify,
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render_template,
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request,
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send_from_directory
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)
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from flask_socketio import SocketIO
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import yaml
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from geventwebsocket.handler import WebSocketHandler
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import logging
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import psutil
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from lollms.main_config import LOLLMSConfig
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from typing import Optional
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import gc
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import pkg_resources
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from api.config import load_config
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from api import LoLLMsAPPI
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import shutil
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import socket
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from api.db import DiscussionsDB, Discussion
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from safe_store import TextVectorizer, VectorizationMethod, VisualizationMethod
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except Exception as ex:
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trace_exception(ex)
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run_update_script()
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try:
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import mimetypes
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mimetypes.add_type('application/javascript', '.js')
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mimetypes.add_type('text/css', '.css')
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except:
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ASCIIColors.yellow("Couldn't set mimetype")
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def check_update_(branch_name="main"):
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try:
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# Open the repository
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repo_path = str(Path(__file__).parent)
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ASCIIColors.yellow(f"Checking for updates from {repo_path}")
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repo = git.Repo(repo_path)
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# Fetch updates from the remote for the specified branch
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repo.remotes.origin.fetch(refspec=f"refs/heads/{branch_name}:refs/remotes/origin/{branch_name}")
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# Compare the local and remote commit IDs for the specified branch
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local_commit = repo.head.commit
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remote_commit = repo.remotes.origin.refs[branch_name].commit
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# Check if the local branch is behind the remote branch
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is_behind = repo.is_ancestor(local_commit, remote_commit) and local_commit!= remote_commit
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ASCIIColors.yellow(f"update availability: {not is_behind}")
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# Return True if the local branch is behind the remote branch
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return is_behind
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except Exception as e:
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# Handle any errors that may occur during the fetch process
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# trace_exception(e)
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return False
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log = logging.getLogger('werkzeug')
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log.setLevel(logging.ERROR)
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app = Flask("Lollms-WebUI", static_url_path="/static", static_folder="static")
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# async_mode='gevent', ping_timeout=1200, ping_interval=120,
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socketio = SocketIO(app, cors_allowed_origins="*", async_mode='threading',engineio_options={'websocket_compression': False, 'websocket_ping_interval': 20, 'websocket_ping_timeout': 120, 'websocket_max_queue': 100})
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app.config['SECRET_KEY'] = 'secret!'
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# Set the logging level to WARNING or higher
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logging.getLogger('socketio').setLevel(logging.WARNING)
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logging.getLogger('engineio').setLevel(logging.WARNING)
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logging.getLogger('werkzeug').setLevel(logging.ERROR)
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logging.basicConfig(level=logging.WARNING)
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def get_ip_address():
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# Create a socket object
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sock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
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try:
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# Connect to a remote host (doesn't matter which one)
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sock.connect(('8.8.8.8', 80))
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# Get the local IP address of the socket
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ip_address = sock.getsockname()[0]
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return ip_address
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except socket.error:
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return None
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finally:
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# Close the socket
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sock.close()
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def run_restart_script(args):
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restart_script = Path(__file__).parent/"restart_script.py"
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# Convert Namespace object to a dictionary
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args_dict = vars(args)
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# Filter out any key-value pairs where the value is None
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valid_args = {key: value for key, value in args_dict.items() if value is not None}
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# Save the arguments to a temporary file
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temp_file = Path(__file__).parent/"temp_args.txt"
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with open(temp_file, "w") as file:
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# Convert the valid_args dictionary to a string in the format "key1 value1 key2 value2 ..."
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arg_string = " ".join([f"--{key} {value}" for key, value in valid_args.items()])
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file.write(arg_string)
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os.system(f"python {restart_script}")
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sys.exit(0)
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class LoLLMsWebUI(LoLLMsAPPI):
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def __init__(self, args, _app, _socketio, config:LOLLMSConfig, config_file_path:Path|str, lollms_paths:LollmsPaths) -> None:
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self.args = args
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if config.auto_update:
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if check_update_():
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ASCIIColors.info("New version found. Updating!")
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self.update_software()
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if len(config.personalities)==0:
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config.personalities.append("generic/lollms")
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config["active_personality_id"] = 0
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config.save_config()
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if config["active_personality_id"]>=len(config["personalities"]) or config["active_personality_id"]<0:
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config["active_personality_id"] = 0
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super().__init__(config, _socketio, config_file_path, lollms_paths)
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self.app = _app
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self.cancel_gen = False
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app.template_folder = "web/dist"
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if len(config["personalities"])>0:
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self.personality_category= config["personalities"][config["active_personality_id"]].split("/")[0]
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self.personality_name= config["personalities"][config["active_personality_id"]].split("/")[1]
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else:
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self.personality_category = "generic"
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self.personality_name = "lollms"
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# =========================================================================================
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# Endpoints
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# =========================================================================================
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self.add_endpoint(
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"/get_current_personality_files_list", "get_current_personality_files_list", self.get_current_personality_files_list, methods=["GET"]
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)
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self.add_endpoint(
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"/clear_personality_files_list", "clear_personality_files_list", self.clear_personality_files_list, methods=["GET"]
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)
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self.add_endpoint("/start_training", "start_training", self.start_training, methods=["POST"])
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self.add_endpoint("/get_lollms_version", "get_lollms_version", self.get_lollms_version, methods=["GET"])
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self.add_endpoint("/get_lollms_webui_version", "get_lollms_webui_version", self.get_lollms_webui_version, methods=["GET"])
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self.add_endpoint("/reload_binding", "reload_binding", self.reload_binding, methods=["POST"])
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self.add_endpoint("/update_software", "update_software", self.update_software, methods=["GET"])
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self.add_endpoint("/clear_uploads", "clear_uploads", self.clear_uploads, methods=["GET"])
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self.add_endpoint("/selectdb", "selectdb", self.selectdb, methods=["GET"])
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self.add_endpoint("/restart_program", "restart_program", self.restart_program, methods=["GET"])
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self.add_endpoint("/check_update", "check_update", self.check_update, methods=["GET"])
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self.add_endpoint("/post_to_personality", "post_to_personality", self.post_to_personality, methods=["POST"])
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self.add_endpoint("/install_model_from_path", "install_model_from_path", self.install_model_from_path, methods=["GET"])
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self.add_endpoint("/unInstall_binding", "unInstall_binding", self.unInstall_binding, methods=["POST"])
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self.add_endpoint("/reinstall_binding", "reinstall_binding", self.reinstall_binding, methods=["POST"])
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self.add_endpoint("/reinstall_personality", "reinstall_personality", self.reinstall_personality, methods=["POST"])
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self.add_endpoint("/switch_personal_path", "switch_personal_path", self.switch_personal_path, methods=["POST"])
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self.add_endpoint("/add_reference_to_local_model", "add_reference_to_local_model", self.add_reference_to_local_model, methods=["POST"])
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self.add_endpoint("/add_model_reference", "add_model_reference", self.add_model_reference, methods=["POST"])
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self.add_endpoint("/upload_model", "upload_model", self.upload_model, methods=["POST"])
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self.add_endpoint("/upload_avatar", "upload_avatar", self.upload_avatar, methods=["POST"])
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self.add_endpoint("/list_mounted_personalities", "list_mounted_personalities", self.list_mounted_personalities, methods=["POST"])
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self.add_endpoint("/mount_personality", "mount_personality", self.p_mount_personality, methods=["POST"])
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self.add_endpoint("/remount_personality", "remount_personality", self.p_remount_personality, methods=["POST"])
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self.add_endpoint("/mount_extension", "mount_extension", self.p_mount_extension, methods=["POST"])
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self.add_endpoint("/remount_extension", "remount_extension", self.p_remount_extension, methods=["POST"])
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self.add_endpoint("/unmount_personality", "unmount_personality", self.p_unmount_personality, methods=["POST"])
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self.add_endpoint("/select_personality", "select_personality", self.p_select_personality, methods=["POST"])
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self.add_endpoint("/get_personality_settings", "get_personality_settings", self.get_personality_settings, methods=["POST"])
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self.add_endpoint("/get_active_personality_settings", "get_active_personality_settings", self.get_active_personality_settings, methods=["GET"])
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self.add_endpoint("/get_active_binding_settings", "get_active_binding_settings", self.get_active_binding_settings, methods=["GET"])
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self.add_endpoint("/set_active_personality_settings", "set_active_personality_settings", self.set_active_personality_settings, methods=["POST"])
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self.add_endpoint("/set_active_binding_settings", "set_active_binding_settings", self.set_active_binding_settings, methods=["POST"])
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self.add_endpoint(
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"/disk_usage", "disk_usage", self.disk_usage, methods=["GET"]
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)
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self.add_endpoint(
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"/ram_usage", "ram_usage", self.ram_usage, methods=["GET"]
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)
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self.add_endpoint(
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"/vram_usage", "vram_usage", self.vram_usage, methods=["GET"]
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)
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self.add_endpoint(
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"/list_bindings", "list_bindings", self.list_bindings, methods=["GET"]
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)
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self.add_endpoint(
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"/list_models", "list_models", self.list_models, methods=["GET"]
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)
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self.add_endpoint(
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"/get_active_model", "get_active_model", self.get_active_model, methods=["GET"]
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)
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self.add_endpoint(
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"/list_personalities_categories", "list_personalities_categories", self.list_personalities_categories, methods=["GET"]
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)
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self.add_endpoint(
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"/list_personalities", "list_personalities", self.list_personalities, methods=["GET"]
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)
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self.add_endpoint(
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"/list_databases", "list_databases", self.list_databases, methods=["GET"]
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)
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self.add_endpoint("/select_database", "select_database", self.select_database, methods=["POST"])
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self.add_endpoint(
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"/list_extensions_categories", "list_extensions_categories", self.list_extensions_categories, methods=["GET"]
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)
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self.add_endpoint(
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"/list_extensions", "list_extensions", self.list_extensions, methods=["GET"]
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)
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self.add_endpoint(
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"/list_discussions", "list_discussions", self.list_discussions, methods=["GET"]
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)
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self.add_endpoint("/delete_personality", "delete_personality", self.delete_personality, methods=["GET"])
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self.add_endpoint("/", "", self.index, methods=["GET"])
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self.add_endpoint("/settings/", "", self.index, methods=["GET"])
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self.add_endpoint("/playground/", "", self.index, methods=["GET"])
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self.add_endpoint("/<path:filename>", "serve_static", self.serve_static, methods=["GET"])
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self.add_endpoint("/user_infos/<path:filename>", "serve_user_infos", self.serve_user_infos, methods=["GET"])
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self.add_endpoint("/images/<path:filename>", "serve_images", self.serve_images, methods=["GET"])
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self.add_endpoint("/extensions/<path:filename>", "serve_extensions", self.serve_extensions, methods=["GET"])
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self.add_endpoint("/bindings/<path:filename>", "serve_bindings", self.serve_bindings, methods=["GET"])
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self.add_endpoint("/personalities/<path:filename>", "serve_personalities", self.serve_personalities, methods=["GET"])
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self.add_endpoint("/outputs/<path:filename>", "serve_outputs", self.serve_outputs, methods=["GET"])
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self.add_endpoint("/data/<path:filename>", "serve_data", self.serve_data, methods=["GET"])
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self.add_endpoint("/help/<path:filename>", "serve_help", self.serve_help, methods=["GET"])
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self.add_endpoint("/uploads/<path:filename>", "serve_uploads", self.serve_uploads, methods=["GET"])
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self.add_endpoint("/export_discussion", "export_discussion", self.export_discussion, methods=["GET"])
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self.add_endpoint("/export", "export", self.export, methods=["GET"])
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self.add_endpoint("/stop_gen", "stop_gen", self.stop_gen, methods=["GET"])
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self.add_endpoint("/rename", "rename", self.rename, methods=["POST"])
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self.add_endpoint("/edit_title", "edit_title", self.edit_title, methods=["POST"])
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self.add_endpoint(
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"/delete_discussion",
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"delete_discussion",
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self.delete_discussion,
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methods=["POST"],
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)
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self.add_endpoint(
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"/edit_message", "edit_message", self.edit_message, methods=["GET"]
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)
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self.add_endpoint(
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"/message_rank_up", "message_rank_up", self.message_rank_up, methods=["GET"]
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)
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self.add_endpoint(
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"/message_rank_down", "message_rank_down", self.message_rank_down, methods=["GET"]
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)
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self.add_endpoint(
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"/delete_message", "delete_message", self.delete_message, methods=["GET"]
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)
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self.add_endpoint(
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"/get_config", "get_config", self.get_config, methods=["GET"]
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)
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self.add_endpoint(
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"/get_current_personality_path_infos", "get_current_personality_path_infos", self.get_current_personality_path_infos, methods=["GET"]
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)
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self.add_endpoint(
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"/get_available_models", "get_available_models", self.get_available_models, methods=["GET"]
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)
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self.add_endpoint(
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"/extensions", "extensions", self.extensions, methods=["GET"]
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)
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self.add_endpoint(
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"/upgrade_to_gpu", "upgrade_to_gpu", self.upgrade_to_gpu, methods=["GET"]
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)
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self.add_endpoint(
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"/training", "training", self.training, methods=["GET"]
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)
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self.add_endpoint(
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"/main", "main", self.main, methods=["GET"]
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)
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self.add_endpoint(
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"/settings", "settings", self.settings, methods=["GET"]
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)
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self.add_endpoint(
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"/help", "help", self.help, methods=["GET"]
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)
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self.add_endpoint(
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"/get_generation_status", "get_generation_status", self.get_generation_status, methods=["GET"]
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)
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self.add_endpoint(
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"/update_setting", "update_setting", self.update_setting, methods=["POST"]
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)
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self.add_endpoint(
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"/apply_settings", "apply_settings", self.apply_settings, methods=["POST"]
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)
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self.add_endpoint(
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"/save_settings", "save_settings", self.save_settings, methods=["POST"]
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)
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self.add_endpoint(
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"/get_current_personality", "get_current_personality", self.get_current_personality, methods=["GET"]
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)
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self.add_endpoint(
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"/get_all_personalities", "get_all_personalities", self.get_all_personalities, methods=["GET"]
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)
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self.add_endpoint(
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"/get_personality", "get_personality", self.get_personality, methods=["GET"]
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)
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self.add_endpoint(
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"/reset", "reset", self.reset, methods=["GET"]
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)
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self.add_endpoint(
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"/export_multiple_discussions", "export_multiple_discussions", self.export_multiple_discussions, methods=["POST"]
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)
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self.add_endpoint(
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"/import_multiple_discussions", "import_multiple_discussions", self.import_multiple_discussions, methods=["POST"]
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)
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self.add_endpoint(
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"/get_presets", "get_presets", self.get_presets, methods=["GET"]
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)
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self.add_endpoint(
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"/add_preset", "add_preset", self.add_preset, methods=["POST"]
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|
)
|
|
|
|
self.add_endpoint(
|
|
"/save_presets", "save_presets", self.save_presets, methods=["POST"]
|
|
)
|
|
|
|
self.add_endpoint(
|
|
"/execute_code", "execute_code", self.execute_code, methods=["POST"]
|
|
)
|
|
|
|
|
|
def execute_python(self, code, discussion_id, message_id):
|
|
def spawn_process(code):
|
|
"""Executes Python code and returns the output as JSON."""
|
|
|
|
# Start the timer.
|
|
start_time = time.time()
|
|
|
|
# Create a temporary file.
|
|
root_folder = self.lollms_paths.personal_outputs_path/"discussions"/f"d_{discussion_id}"
|
|
root_folder.mkdir(parents=True,exist_ok=True)
|
|
tmp_file = root_folder/f"ai_code_{message_id}.py"
|
|
with open(tmp_file,"w") as f:
|
|
f.write(code)
|
|
|
|
try:
|
|
# Execute the Python code in a temporary file.
|
|
process = subprocess.Popen(
|
|
["python", str(tmp_file)],
|
|
stdout=subprocess.PIPE,
|
|
stderr=subprocess.PIPE,
|
|
)
|
|
|
|
# Get the output and error from the process.
|
|
output, error = process.communicate()
|
|
except Exception as ex:
|
|
# Stop the timer.
|
|
execution_time = time.time() - start_time
|
|
error_message = f"Error executing Python code: {ex}"
|
|
error_json = {"output": "<div class='text-red-500'>"+ex+"\n"+get_trace_exception(ex)+"</div>", "execution_time": execution_time}
|
|
return json.dumps(error_json)
|
|
|
|
# Stop the timer.
|
|
execution_time = time.time() - start_time
|
|
|
|
# Check if the process was successful.
|
|
if process.returncode != 0:
|
|
# The child process threw an exception.
|
|
error_message = f"Error executing Python code: {error.decode('utf8')}"
|
|
error_json = {"output": "<div class='text-red-500'>"+error_message+"</div>", "execution_time": execution_time}
|
|
return json.dumps(error_json)
|
|
|
|
# The child process was successful.
|
|
output_json = {"output": output.decode("utf8"), "execution_time": execution_time}
|
|
return json.dumps(output_json)
|
|
return spawn_process(code)
|
|
|
|
def execute_bash(self, code, discussion_id, message_id):
|
|
def spawn_process(code):
|
|
"""Executes Python code and returns the output as JSON."""
|
|
|
|
# Start the timer.
|
|
start_time = time.time()
|
|
|
|
# Create a temporary file.
|
|
root_folder = self.lollms_paths.personal_outputs_path/"discussions"/f"d_{discussion_id}"
|
|
root_folder.mkdir(parents=True,exist_ok=True)
|
|
try:
|
|
# Execute the Python code in a temporary file.
|
|
process = subprocess.Popen(
|
|
code,
|
|
shell=True,
|
|
stdout=subprocess.PIPE,
|
|
stderr=subprocess.PIPE,
|
|
)
|
|
|
|
# Get the output and error from the process.
|
|
output, error = process.communicate()
|
|
except Exception as ex:
|
|
# Stop the timer.
|
|
execution_time = time.time() - start_time
|
|
error_message = f"Error executing Python code: {ex}"
|
|
error_json = {"output": "<div class='text-red-500'>"+str(ex)+"\n"+get_trace_exception(ex)+"</div>", "execution_time": execution_time}
|
|
return json.dumps(error_json)
|
|
|
|
# Stop the timer.
|
|
execution_time = time.time() - start_time
|
|
|
|
# Check if the process was successful.
|
|
if process.returncode != 0:
|
|
# The child process threw an exception.
|
|
error_message = f"Error executing Python code: {error.decode('utf8')}"
|
|
error_json = {"output": "<div class='text-red-500'>"+error_message+"</div>", "execution_time": execution_time}
|
|
return json.dumps(error_json)
|
|
|
|
# The child process was successful.
|
|
output_json = {"output": output.decode("utf8"), "execution_time": execution_time}
|
|
return json.dumps(output_json)
|
|
return spawn_process(code)
|
|
|
|
def execute_code(self):
|
|
"""Executes Python code and returns the output."""
|
|
|
|
data = request.get_json()
|
|
code = data["code"]
|
|
discussion_id = data.get("discussion_id","unknown_discussion")
|
|
message_id = data.get("message_id","unknown_message")
|
|
language = data.get("language","python")
|
|
|
|
|
|
ASCIIColors.info("Executing python code:")
|
|
ASCIIColors.yellow(code)
|
|
|
|
if language=="python":
|
|
return self.execute_python(code, discussion_id, message_id)
|
|
elif language=="bash":
|
|
return self.execute_bash(code, discussion_id, message_id)
|
|
|
|
def copy_files(self, src, dest):
|
|
for item in os.listdir(src):
|
|
src_file = os.path.join(src, item)
|
|
dest_file = os.path.join(dest, item)
|
|
|
|
if os.path.isfile(src_file):
|
|
shutil.copy2(src_file, dest_file)
|
|
|
|
def get_presets(self):
|
|
presets = []
|
|
presets_folder = Path("__file__").parent/"presets"
|
|
for filename in presets_folder.glob('*.yaml'):
|
|
with open(filename, 'r', encoding='utf-8') as file:
|
|
preset = yaml.safe_load(file)
|
|
if preset is not None:
|
|
presets.append(preset)
|
|
presets_folder = self.lollms_paths.personal_databases_path/"lollms_playground_presets"
|
|
presets_folder.mkdir(exist_ok=True, parents=True)
|
|
for filename in presets_folder.glob('*.yaml'):
|
|
with open(filename, 'r', encoding='utf-8') as file:
|
|
preset = yaml.safe_load(file)
|
|
if preset is not None:
|
|
presets.append(preset)
|
|
return jsonify(presets)
|
|
|
|
def add_preset(self):
|
|
# Get the JSON data from the POST request.
|
|
preset_data = request.get_json()
|
|
presets_folder = self.lollms_paths.personal_databases_path/"lollms_playground_presets"
|
|
if not presets_folder.exists():
|
|
presets_folder.mkdir(exist_ok=True, parents=True)
|
|
|
|
fn = preset_data["name"].lower().replace(" ","_")
|
|
filename = presets_folder/f"{fn}.yaml"
|
|
with open(filename, 'w', encoding='utf-8') as file:
|
|
yaml.dump(preset_data, file)
|
|
return jsonify({"status": True})
|
|
|
|
def del_preset(self):
|
|
presets_folder = self.lollms_paths.personal_databases_path/"lollms_playground_presets"
|
|
if not presets_folder.exists():
|
|
presets_folder.mkdir(exist_ok=True, parents=True)
|
|
self.copy_files("presets",presets_folder)
|
|
presets = []
|
|
for filename in presets_folder.glob('*.yaml'):
|
|
print(filename)
|
|
with open(filename, 'r') as file:
|
|
preset = yaml.safe_load(file)
|
|
if preset is not None:
|
|
presets.append(preset)
|
|
return jsonify(presets)
|
|
|
|
|
|
def save_presets(self):
|
|
"""Saves a preset to a file.
|
|
|
|
Args:
|
|
None.
|
|
|
|
Returns:
|
|
None.
|
|
"""
|
|
|
|
# Get the JSON data from the POST request.
|
|
preset_data = request.get_json()
|
|
|
|
presets_file = self.lollms_paths.personal_databases_path/"presets.json"
|
|
# Save the JSON data to a file.
|
|
with open(presets_file, "w") as f:
|
|
json.dump(preset_data, f, indent=4)
|
|
|
|
return jsonify({"status":True,"message":"Preset saved successfully!"})
|
|
|
|
def export_multiple_discussions(self):
|
|
data = request.get_json()
|
|
discussion_ids = data["discussion_ids"]
|
|
discussions = self.db.export_discussions_to_json(discussion_ids)
|
|
return jsonify(discussions)
|
|
|
|
def import_multiple_discussions(self):
|
|
discussions = request.get_json()["jArray"]
|
|
self.db.import_from_json(discussions)
|
|
return jsonify(discussions)
|
|
|
|
def reset(self):
|
|
os.kill(os.getpid(), signal.SIGINT) # Send the interrupt signal to the current process
|
|
subprocess.Popen(['python', 'app.py']) # Restart the app using subprocess
|
|
|
|
return 'App is resetting...'
|
|
|
|
def save_settings(self):
|
|
self.config.save_config(self.config_file_path)
|
|
if self.config["debug"]:
|
|
print("Configuration saved")
|
|
# Tell that the setting was changed
|
|
self.socketio.emit('save_settings', {"status":True})
|
|
return jsonify({"status":True})
|
|
|
|
|
|
def get_current_personality(self):
|
|
return jsonify({"personality":self.personality.as_dict()})
|
|
|
|
def get_all_personalities(self):
|
|
ASCIIColors.yellow("Listing all personalities")
|
|
personalities_folder = self.lollms_paths.personalities_zoo_path
|
|
personalities = {}
|
|
|
|
for category_folder in personalities_folder.iterdir():
|
|
cat = category_folder.stem
|
|
if category_folder.is_dir() and not category_folder.stem.startswith('.'):
|
|
personalities[category_folder.name] = []
|
|
for personality_folder in category_folder.iterdir():
|
|
pers = personality_folder.stem
|
|
if personality_folder.is_dir() and not personality_folder.stem.startswith('.'):
|
|
personality_info = {"folder":personality_folder.stem}
|
|
config_path = personality_folder / 'config.yaml'
|
|
if not config_path.exists():
|
|
"""
|
|
try:
|
|
shutil.rmtree(str(config_path.parent))
|
|
ASCIIColors.warning(f"Deleted useless personality: {config_path.parent}")
|
|
except Exception as ex:
|
|
ASCIIColors.warning(f"Couldn't delete personality ({ex})")
|
|
"""
|
|
continue
|
|
try:
|
|
scripts_path = personality_folder / 'scripts'
|
|
personality_info['has_scripts'] = scripts_path.exists()
|
|
with open(config_path) as config_file:
|
|
config_data = yaml.load(config_file, Loader=yaml.FullLoader)
|
|
personality_info['name'] = config_data.get('name',"No Name")
|
|
personality_info['description'] = config_data.get('personality_description',"")
|
|
personality_info['author'] = config_data.get('author', 'ParisNeo')
|
|
personality_info['version'] = config_data.get('version', '1.0.0')
|
|
personality_info['installed'] = (self.lollms_paths.personal_configuration_path/f"personality_{personality_folder.stem}.yaml").exists() or personality_info['has_scripts']
|
|
personality_info['help'] = config_data.get('help', '')
|
|
personality_info['commands'] = config_data.get('commands', '')
|
|
|
|
languages_path = personality_folder/ 'languages'
|
|
|
|
real_assets_path = personality_folder/ 'assets'
|
|
assets_path = Path("personalities") / cat / pers / 'assets'
|
|
gif_logo_path = assets_path / 'logo.gif'
|
|
webp_logo_path = assets_path / 'logo.webp'
|
|
png_logo_path = assets_path / 'logo.png'
|
|
jpg_logo_path = assets_path / 'logo.jpg'
|
|
jpeg_logo_path = assets_path / 'logo.jpeg'
|
|
svg_logo_path = assets_path / 'logo.svg'
|
|
bmp_logo_path = assets_path / 'logo.bmp'
|
|
|
|
gif_logo_path_ = real_assets_path / 'logo.gif'
|
|
webp_logo_path_ = real_assets_path / 'logo.webp'
|
|
png_logo_path_ = real_assets_path / 'logo.png'
|
|
jpg_logo_path_ = real_assets_path / 'logo.jpg'
|
|
jpeg_logo_path_ = real_assets_path / 'logo.jpeg'
|
|
svg_logo_path_ = real_assets_path / 'logo.svg'
|
|
bmp_logo_path_ = real_assets_path / 'logo.bmp'
|
|
|
|
if languages_path.exists():
|
|
personality_info['languages']=[f.stem for f in languages_path.iterdir() if f.suffix==".yaml"]
|
|
else:
|
|
personality_info['languages']=None
|
|
|
|
personality_info['has_logo'] = png_logo_path.is_file() or gif_logo_path.is_file()
|
|
|
|
if gif_logo_path_.exists():
|
|
personality_info['avatar'] = str(gif_logo_path).replace("\\","/")
|
|
elif webp_logo_path_.exists():
|
|
personality_info['avatar'] = str(webp_logo_path).replace("\\","/")
|
|
elif png_logo_path_.exists():
|
|
personality_info['avatar'] = str(png_logo_path).replace("\\","/")
|
|
elif jpg_logo_path_.exists():
|
|
personality_info['avatar'] = str(jpg_logo_path).replace("\\","/")
|
|
elif jpeg_logo_path_.exists():
|
|
personality_info['avatar'] = str(jpeg_logo_path).replace("\\","/")
|
|
elif svg_logo_path_.exists():
|
|
personality_info['avatar'] = str(svg_logo_path).replace("\\","/")
|
|
elif bmp_logo_path_.exists():
|
|
personality_info['avatar'] = str(bmp_logo_path).replace("\\","/")
|
|
else:
|
|
personality_info['avatar'] = ""
|
|
|
|
personalities[category_folder.name].append(personality_info)
|
|
except Exception as ex:
|
|
ASCIIColors.warning(f"Couldn't load personality from {personality_folder} [{ex}]")
|
|
trace_exception(ex)
|
|
return json.dumps(personalities)
|
|
|
|
def get_personality(self):
|
|
category = request.args.get('category')
|
|
name = request.args.get('name')
|
|
personality_folder = self.lollms_paths.personalities_zoo_path/f"{category}"/f"{name}"
|
|
personality_path = personality_folder/f"config.yaml"
|
|
personality_info = {}
|
|
with open(personality_path) as config_file:
|
|
config_data = yaml.load(config_file, Loader=yaml.FullLoader)
|
|
personality_info['name'] = config_data.get('name',"unnamed")
|
|
personality_info['description'] = config_data.get('personality_description',"")
|
|
personality_info['author'] = config_data.get('creator', 'ParisNeo')
|
|
personality_info['version'] = config_data.get('version', '1.0.0')
|
|
scripts_path = personality_folder / 'scripts'
|
|
personality_info['has_scripts'] = scripts_path.is_dir()
|
|
assets_path = personality_folder / 'assets'
|
|
gif_logo_path = assets_path / 'logo.gif'
|
|
webp_logo_path = assets_path / 'logo.webp'
|
|
png_logo_path = assets_path / 'logo.png'
|
|
jpg_logo_path = assets_path / 'logo.jpg'
|
|
jpeg_logo_path = assets_path / 'logo.jpeg'
|
|
bmp_logo_path = assets_path / 'logo.bmp'
|
|
|
|
personality_info['has_logo'] = png_logo_path.is_file() or gif_logo_path.is_file()
|
|
|
|
if gif_logo_path.exists():
|
|
personality_info['avatar'] = str(gif_logo_path).replace("\\","/")
|
|
elif webp_logo_path.exists():
|
|
personality_info['avatar'] = str(webp_logo_path).replace("\\","/")
|
|
elif png_logo_path.exists():
|
|
personality_info['avatar'] = str(png_logo_path).replace("\\","/")
|
|
elif jpg_logo_path.exists():
|
|
personality_info['avatar'] = str(jpg_logo_path).replace("\\","/")
|
|
elif jpeg_logo_path.exists():
|
|
personality_info['avatar'] = str(jpeg_logo_path).replace("\\","/")
|
|
elif bmp_logo_path.exists():
|
|
personality_info['avatar'] = str(bmp_logo_path).replace("\\","/")
|
|
else:
|
|
personality_info['avatar'] = ""
|
|
return json.dumps(personality_info)
|
|
|
|
# Settings (data: {"setting_name":<the setting name>,"setting_value":<the setting value>})
|
|
def update_setting(self):
|
|
data = request.get_json()
|
|
setting_name = data['setting_name']
|
|
|
|
ASCIIColors.info(f"Requested updating of setting {data['setting_name']} to {data['setting_value']}")
|
|
if setting_name== "temperature":
|
|
self.config["temperature"]=float(data['setting_value'])
|
|
elif setting_name== "n_predict":
|
|
self.config["n_predict"]=int(data['setting_value'])
|
|
elif setting_name== "top_k":
|
|
self.config["top_k"]=int(data['setting_value'])
|
|
elif setting_name== "top_p":
|
|
self.config["top_p"]=float(data['setting_value'])
|
|
|
|
elif setting_name== "repeat_penalty":
|
|
self.config["repeat_penalty"]=float(data['setting_value'])
|
|
elif setting_name== "repeat_last_n":
|
|
self.config["repeat_last_n"]=int(data['setting_value'])
|
|
|
|
elif setting_name== "n_threads":
|
|
self.config["n_threads"]=int(data['setting_value'])
|
|
elif setting_name== "ctx_size":
|
|
self.config["ctx_size"]=int(data['setting_value'])
|
|
|
|
elif setting_name== "personality_folder":
|
|
self.personality_name=data['setting_value']
|
|
if len(self.config["personalities"])>0:
|
|
if self.config["active_personality_id"]<len(self.config["personalities"]):
|
|
self.config["personalities"][self.config["active_personality_id"]] = f"{self.personality_category}/{self.personality_name}"
|
|
else:
|
|
self.config["active_personality_id"] = 0
|
|
self.config["personalities"][self.config["active_personality_id"]] = f"{self.personality_category}/{self.personality_name}"
|
|
|
|
if self.personality_category!="Custom":
|
|
personality_fn = self.lollms_paths.personalities_zoo_path/self.config["personalities"][self.config["active_personality_id"]]
|
|
else:
|
|
personality_fn = self.lollms_paths.personal_personalities_path/self.config["personalities"][self.config["active_personality_id"]].split("/")[-1]
|
|
self.personality.load_personality(personality_fn)
|
|
else:
|
|
self.config["personalities"].append(f"{self.personality_category}/{self.personality_name}")
|
|
elif setting_name== "override_personality_model_parameters":
|
|
self.config["override_personality_model_parameters"]=bool(data['setting_value'])
|
|
|
|
elif setting_name == "model_name":
|
|
ASCIIColors.yellow(f"Changing model to: {data['setting_value']}")
|
|
self.config["model_name"]=data['setting_value']
|
|
if self.config["model_name"] is not None:
|
|
try:
|
|
GG = AdvancedGarbageCollector()
|
|
GG.safeHardCollect("model", self.binding)
|
|
self.model = None
|
|
self.binding.model = None
|
|
if self.binding:
|
|
del self.binding
|
|
self.binding = None
|
|
to_remove = []
|
|
for per in self.mounted_personalities:
|
|
if per is not None:
|
|
per.model = None
|
|
else:
|
|
to_remove.append(per)
|
|
for per in to_remove:
|
|
self.mounted_personalities.remove(per)
|
|
if len(self.mounted_personalities)==0:
|
|
self.config.personalities= ["generic/lollms"]
|
|
self.mount_personality(0)
|
|
gc.collect()
|
|
self.binding = BindingBuilder().build_binding(self.config, self.lollms_paths)
|
|
|
|
self.model = self.binding.build_model()
|
|
for per in self.mounted_personalities:
|
|
if per is not None:
|
|
per.model = self.model
|
|
except Exception as ex:
|
|
# Catch the exception and get the traceback as a list of strings
|
|
traceback_lines = traceback.format_exception(type(ex), ex, ex.__traceback__)
|
|
|
|
# Join the traceback lines into a single string
|
|
traceback_text = ''.join(traceback_lines)
|
|
ASCIIColors.error(f"Couldn't load model: [{ex}]")
|
|
ASCIIColors.error(traceback_text)
|
|
return jsonify({ "status":False, 'error':str(ex)})
|
|
else:
|
|
ASCIIColors.warning("Trying to set a None model. Please select a model for the binding")
|
|
print("update_settings : New model selected")
|
|
|
|
elif setting_name== "binding_name":
|
|
if self.config['binding_name']!= data['setting_value']:
|
|
print(f"New binding selected : {data['setting_value']}")
|
|
self.config["binding_name"]=data['setting_value']
|
|
try:
|
|
if self.binding:
|
|
self.binding.destroy_model()
|
|
|
|
self.binding = None
|
|
self.model = None
|
|
for per in self.mounted_personalities:
|
|
per.model = None
|
|
gc.collect()
|
|
self.binding = BindingBuilder().build_binding(self.config, self.lollms_paths)
|
|
self.model = None
|
|
self.config.save_config()
|
|
ASCIIColors.green("Model loaded successfully")
|
|
except Exception as ex:
|
|
ASCIIColors.error(f"Couldn't build binding: [{ex}]")
|
|
trace_exception(ex)
|
|
return jsonify({"status":False, 'error':str(ex)})
|
|
else:
|
|
if self.config["debug"]:
|
|
print(f"Configuration {data['setting_name']} set to {data['setting_value']}")
|
|
return jsonify({'setting_name': data['setting_name'], "status":True})
|
|
|
|
else:
|
|
if data['setting_name'] in self.config.config.keys():
|
|
self.config[data['setting_name']] = data['setting_value']
|
|
else:
|
|
if self.config["debug"]:
|
|
print(f"Configuration {data['setting_name']} couldn't be set to {data['setting_value']}")
|
|
return jsonify({'setting_name': data['setting_name'], "status":False})
|
|
|
|
if self.config["debug"]:
|
|
print(f"Configuration {data['setting_name']} set to {data['setting_value']}")
|
|
|
|
ASCIIColors.success(f"Configuration {data['setting_name']} updated")
|
|
if self.config.auto_save:
|
|
self.config.save_config()
|
|
# Tell that the setting was changed
|
|
return jsonify({'setting_name': data['setting_name'], "status":True})
|
|
|
|
|
|
|
|
def apply_settings(self):
|
|
data = request.get_json()
|
|
try:
|
|
for key in self.config.config.keys():
|
|
self.config.config[key] = data["config"].get(key, self.config.config[key])
|
|
ASCIIColors.success("OK")
|
|
self.rebuild_personalities()
|
|
if self.config.auto_save:
|
|
self.config.save_config()
|
|
|
|
if self.config.data_vectorization_activate and self.config.use_discussions_history:
|
|
try:
|
|
ASCIIColors.yellow("0- Detected discussion vectorization request")
|
|
folder = self.lollms_paths.personal_databases_path/"vectorized_dbs"
|
|
folder.mkdir(parents=True, exist_ok=True)
|
|
self.discussions_store = TextVectorizer(
|
|
vectorization_method=VectorizationMethod.TFIDF_VECTORIZER,#=VectorizationMethod.BM25_VECTORIZER,
|
|
database_path=folder/self.config.db_path,
|
|
data_visualization_method=VisualizationMethod.PCA,#VisualizationMethod.PCA,
|
|
save_db=True
|
|
)
|
|
ASCIIColors.yellow("1- Exporting discussions")
|
|
discussions = self.db.export_all_as_markdown_list_for_vectorization()
|
|
ASCIIColors.yellow("2- Adding discussions to vectorizer")
|
|
for (title,discussion) in discussions:
|
|
if discussion!='':
|
|
self.discussions_store.add_document(title, discussion, chunk_size=self.config.data_vectorization_chunk_size, overlap_size=self.config.data_vectorization_overlap_size, force_vectorize=False, add_as_a_bloc=False)
|
|
ASCIIColors.yellow("3- Indexing database")
|
|
self.discussions_store.index()
|
|
ASCIIColors.yellow("3- Saving database")
|
|
self.discussions_store.save_to_json()
|
|
ASCIIColors.yellow("Ready")
|
|
except Exception as ex:
|
|
ASCIIColors.error(f"Couldn't vectorize database:{ex}")
|
|
return jsonify({"status":True})
|
|
except Exception as ex:
|
|
trace_exception(ex)
|
|
return jsonify({"status":False,"error":str(ex)})
|
|
|
|
|
|
def upgrade_to_gpu(self):
|
|
ASCIIColors.yellow("Received command to upgrade to GPU")
|
|
ASCIIColors.info("Installing cuda toolkit")
|
|
res = subprocess.check_call(["conda", "install", "-c", "nvidia/label/cuda-11.7.0", "-c", "nvidia", "-c", "conda-forge", "cuda-toolkit", "ninja", "git", "--force-reinstall", "-y"])
|
|
if res!=0:
|
|
ASCIIColors.red("Couldn't install cuda toolkit")
|
|
return jsonify({'status':False, "error": "Couldn't install cuda toolkit. Make sure you are running from conda environment"})
|
|
ASCIIColors.green("Cuda toolkit installed successfully")
|
|
ASCIIColors.yellow("Removing pytorch")
|
|
try:
|
|
res = subprocess.check_call(["pip","uninstall","torch", "torchvision", "torchaudio", "-y"])
|
|
except :
|
|
pass
|
|
ASCIIColors.green("PyTorch unstalled successfully")
|
|
ASCIIColors.yellow("Installing pytorch with cuda support")
|
|
res = subprocess.check_call(["pip","install","--upgrade","torch==2.0.1+cu117", "torchvision", "torchaudio", "--index-url", "https://download.pytorch.org/whl/cu117","--no-cache"])
|
|
if res==0:
|
|
ASCIIColors.green("PyTorch installed successfully")
|
|
import torch
|
|
if torch.cuda.is_available():
|
|
ASCIIColors.success("CUDA is supported.")
|
|
else:
|
|
ASCIIColors.warning("CUDA is not supported. This may mean that the upgrade didn't succeed. Try rebooting the application")
|
|
else:
|
|
ASCIIColors.green("An error hapened")
|
|
self.config.enable_gpu=True
|
|
return jsonify({'status':res==0})
|
|
|
|
|
|
|
|
def ram_usage(self):
|
|
"""
|
|
Returns the RAM usage in bytes.
|
|
"""
|
|
ram = psutil.virtual_memory()
|
|
return jsonify({
|
|
"total_space":ram.total,
|
|
"available_space":ram.free,
|
|
|
|
"percent_usage":ram.percent,
|
|
"ram_usage": ram.used
|
|
})
|
|
|
|
def vram_usage(self) -> Optional[dict]:
|
|
try:
|
|
output = subprocess.check_output(['nvidia-smi', '--query-gpu=memory.total,memory.used,gpu_name', '--format=csv,nounits,noheader'])
|
|
lines = output.decode().strip().split('\n')
|
|
vram_info = [line.split(',') for line in lines]
|
|
except (subprocess.CalledProcessError, FileNotFoundError):
|
|
return {
|
|
"nb_gpus": 0
|
|
}
|
|
|
|
ram_usage = {
|
|
"nb_gpus": len(vram_info)
|
|
}
|
|
|
|
if vram_info is not None:
|
|
for i, gpu in enumerate(vram_info):
|
|
ram_usage[f"gpu_{i}_total_vram"] = int(gpu[0])*1024*1024
|
|
ram_usage[f"gpu_{i}_used_vram"] = int(gpu[1])*1024*1024
|
|
ram_usage[f"gpu_{i}_model"] = gpu[2].strip()
|
|
else:
|
|
# Set all VRAM-related entries to None
|
|
ram_usage["gpu_0_total_vram"] = None
|
|
ram_usage["gpu_0_used_vram"] = None
|
|
ram_usage["gpu_0_model"] = None
|
|
|
|
return jsonify(ram_usage)
|
|
|
|
def disk_usage(self):
|
|
current_drive = Path.cwd().anchor
|
|
drive_disk_usage = psutil.disk_usage(current_drive)
|
|
try:
|
|
models_folder_disk_usage = psutil.disk_usage(str(self.lollms_paths.personal_models_path/f'{self.config["binding_name"]}'))
|
|
return jsonify( {
|
|
"total_space":drive_disk_usage.total,
|
|
"available_space":drive_disk_usage.free,
|
|
"usage":drive_disk_usage.used,
|
|
"percent_usage":drive_disk_usage.percent,
|
|
|
|
"binding_disk_total_space":models_folder_disk_usage.total,
|
|
"binding_disk_available_space":models_folder_disk_usage.free,
|
|
"binding_models_usage": models_folder_disk_usage.used,
|
|
"binding_models_percent_usage": models_folder_disk_usage.percent,
|
|
})
|
|
except Exception as ex:
|
|
return jsonify({
|
|
"total_space":drive_disk_usage.total,
|
|
"available_space":drive_disk_usage.free,
|
|
"percent_usage":drive_disk_usage.percent,
|
|
|
|
"binding_disk_total_space": None,
|
|
"binding_disk_available_space": None,
|
|
"binding_models_usage": None,
|
|
"binding_models_percent_usage": None,
|
|
})
|
|
|
|
def find_extension(self, path:Path, filename:str, exts:list)->Path:
|
|
for ext in exts:
|
|
full_path = path/(filename+ext)
|
|
if full_path.exists():
|
|
return full_path
|
|
return None
|
|
|
|
def list_bindings(self):
|
|
bindings_dir = self.lollms_paths.bindings_zoo_path # replace with the actual path to the models folder
|
|
bindings=[]
|
|
for f in bindings_dir.iterdir():
|
|
if f.stem!="binding_template":
|
|
card = f/"binding_card.yaml"
|
|
if card.exists():
|
|
try:
|
|
bnd = load_config(card)
|
|
bnd["folder"]=f.stem
|
|
installed = (self.lollms_paths.personal_configuration_path/"bindings"/f.stem/f"config.yaml").exists()
|
|
bnd["installed"]=installed
|
|
ui_file_path = f/"ui.html"
|
|
if ui_file_path.exists():
|
|
with ui_file_path.open("r") as file:
|
|
text_content = file.read()
|
|
bnd["ui"]=text_content
|
|
else:
|
|
bnd["ui"]=None
|
|
disclaimer_file_path = f/"disclaimer.md"
|
|
if disclaimer_file_path.exists():
|
|
with disclaimer_file_path.open("r") as file:
|
|
text_content = file.read()
|
|
bnd["disclaimer"]=text_content
|
|
else:
|
|
bnd["disclaimer"]=None
|
|
icon_file = self.find_extension(self.lollms_paths.bindings_zoo_path/f"{f.name}", "logo", [".svg",".gif",".png"])
|
|
if icon_file is not None:
|
|
icon_path = Path(f"bindings/{f.name}/logo{icon_file.suffix}")
|
|
bnd["icon"]=str(icon_path)
|
|
|
|
bindings.append(bnd)
|
|
except Exception as ex:
|
|
print(f"Couldn't load backend card : {f}\n\t{ex}")
|
|
return jsonify(bindings)
|
|
|
|
|
|
def list_extensions(self):
|
|
ASCIIColors.yellow("Listing all extensions")
|
|
extensions_folder = self.lollms_paths.extensions_zoo_path
|
|
extensions = {}
|
|
|
|
for category_folder in extensions_folder.iterdir():
|
|
cat = category_folder.stem
|
|
if category_folder.is_dir() and not category_folder.stem.startswith('.'):
|
|
extensions[category_folder.name] = []
|
|
for extensions_folder in category_folder.iterdir():
|
|
ext = extensions_folder.stem
|
|
if extensions_folder.is_dir() and not extensions_folder.stem.startswith('.'):
|
|
extension_info = {"folder":extensions_folder.stem}
|
|
config_path = extensions_folder / 'config.yaml'
|
|
if not config_path.exists():
|
|
continue
|
|
try:
|
|
with open(config_path) as config_file:
|
|
config_data = yaml.load(config_file, Loader=yaml.FullLoader)
|
|
extension_info['name'] = config_data.get('name',"No Name")
|
|
extension_info['author'] = config_data.get('author', 'ParisNeo')
|
|
extension_info['description'] = config_data.get('personality_description',"")
|
|
extension_info['version'] = config_data.get('version', '1.0.0')
|
|
extension_info['installed'] = (self.lollms_paths.personal_configuration_path/f"personality_{extensions_folder.stem}.yaml").exists()
|
|
extension_info['help'] = config_data.get('help', '')
|
|
|
|
real_assets_path = extensions_folder/ 'assets'
|
|
assets_path = Path("extensions") / cat / ext / 'assets'
|
|
gif_logo_path = assets_path / 'logo.gif'
|
|
webp_logo_path = assets_path / 'logo.webp'
|
|
png_logo_path = assets_path / 'logo.png'
|
|
jpg_logo_path = assets_path / 'logo.jpg'
|
|
jpeg_logo_path = assets_path / 'logo.jpeg'
|
|
svg_logo_path = assets_path / 'logo.svg'
|
|
bmp_logo_path = assets_path / 'logo.bmp'
|
|
|
|
gif_logo_path_ = real_assets_path / 'logo.gif'
|
|
webp_logo_path_ = real_assets_path / 'logo.webp'
|
|
png_logo_path_ = real_assets_path / 'logo.png'
|
|
jpg_logo_path_ = real_assets_path / 'logo.jpg'
|
|
jpeg_logo_path_ = real_assets_path / 'logo.jpeg'
|
|
svg_logo_path_ = real_assets_path / 'logo.svg'
|
|
bmp_logo_path_ = real_assets_path / 'logo.bmp'
|
|
|
|
extension_info['has_logo'] = png_logo_path.is_file() or gif_logo_path.is_file()
|
|
|
|
if gif_logo_path_.exists():
|
|
extension_info['avatar'] = str(gif_logo_path).replace("\\","/")
|
|
elif webp_logo_path_.exists():
|
|
extension_info['avatar'] = str(webp_logo_path).replace("\\","/")
|
|
elif png_logo_path_.exists():
|
|
extension_info['avatar'] = str(png_logo_path).replace("\\","/")
|
|
elif jpg_logo_path_.exists():
|
|
extension_info['avatar'] = str(jpg_logo_path).replace("\\","/")
|
|
elif jpeg_logo_path_.exists():
|
|
extension_info['avatar'] = str(jpeg_logo_path).replace("\\","/")
|
|
elif svg_logo_path_.exists():
|
|
extension_info['avatar'] = str(svg_logo_path).replace("\\","/")
|
|
elif bmp_logo_path_.exists():
|
|
extension_info['avatar'] = str(bmp_logo_path).replace("\\","/")
|
|
else:
|
|
extension_info['avatar'] = ""
|
|
|
|
extensions[category_folder.name].append(extension_info)
|
|
except Exception as ex:
|
|
ASCIIColors.warning(f"Couldn't load personality from {extensions_folder} [{ex}]")
|
|
trace_exception(ex)
|
|
return json.dumps(extensions)
|
|
|
|
|
|
|
|
def list_models(self):
|
|
if self.binding is not None:
|
|
models = self.binding.list_models(self.config)
|
|
ASCIIColors.yellow("Listing models")
|
|
return jsonify(models)
|
|
else:
|
|
return jsonify([])
|
|
|
|
def get_active_model(self):
|
|
if self.binding is not None:
|
|
try:
|
|
models = self.binding.list_models(self.config)
|
|
index = models.index(self.config.model_name)
|
|
ASCIIColors.yellow("Listing active models")
|
|
return jsonify({"model":models[index],"index":index})
|
|
except Exception as ex:
|
|
return jsonify(None)
|
|
else:
|
|
return jsonify(None)
|
|
|
|
def list_personalities_categories(self):
|
|
personalities_categories_dir = self.lollms_paths.personalities_zoo_path # replace with the actual path to the models folder
|
|
personalities_categories = [f.stem for f in personalities_categories_dir.iterdir() if f.is_dir() and not f.name.startswith(".")]
|
|
return jsonify(personalities_categories)
|
|
|
|
def list_personalities(self):
|
|
category = request.args.get('category')
|
|
if not category:
|
|
return jsonify([])
|
|
try:
|
|
personalities_dir = self.lollms_paths.personalities_zoo_path/f'{category}' # replace with the actual path to the models folder
|
|
personalities = [f.stem for f in personalities_dir.iterdir() if f.is_dir() and not f.name.startswith(".")]
|
|
except Exception as ex:
|
|
personalities=[]
|
|
ASCIIColors.error(f"No personalities found. Using default one {ex}")
|
|
return jsonify(personalities)
|
|
|
|
def list_databases(self):
|
|
databases = [f.name for f in self.lollms_paths.personal_databases_path.iterdir() if f.suffix==".db"]
|
|
return jsonify(databases)
|
|
|
|
def select_database(self):
|
|
data = request.get_json()
|
|
if not data["name"].endswith(".db"):
|
|
data["name"] += ".db"
|
|
print(f'Selecting database {data["name"]}')
|
|
# Create database object
|
|
self.db = DiscussionsDB(self.lollms_paths.personal_databases_path/data["name"])
|
|
ASCIIColors.info("Checking discussions database... ",end="")
|
|
self.db.create_tables()
|
|
self.db.add_missing_columns()
|
|
self.config.db_path = data["name"]
|
|
ASCIIColors.success("ok")
|
|
|
|
if self.config.auto_save:
|
|
self.config.save_config()
|
|
|
|
if self.config.data_vectorization_activate and self.config.use_discussions_history:
|
|
try:
|
|
ASCIIColors.yellow("0- Detected discussion vectorization request")
|
|
folder = self.lollms_paths.personal_databases_path/"vectorized_dbs"
|
|
folder.mkdir(parents=True, exist_ok=True)
|
|
self.discussions_store = TextVectorizer(
|
|
vectorization_method=VectorizationMethod.TFIDF_VECTORIZER,#=VectorizationMethod.BM25_VECTORIZER,
|
|
database_path=folder/self.config.db_path,
|
|
data_visualization_method=VisualizationMethod.PCA,#VisualizationMethod.PCA,
|
|
save_db=True
|
|
)
|
|
ASCIIColors.yellow("1- Exporting discussions")
|
|
self.notify("Exporting discussions",True, None)
|
|
discussions = self.db.export_all_as_markdown_list_for_vectorization()
|
|
ASCIIColors.yellow("2- Adding discussions to vectorizer")
|
|
self.notify("Adding discussions to vectorizer",True, None)
|
|
for (title,discussion) in discussions:
|
|
self.discussions_store.add_document(title, discussion, chunk_size=self.config.data_vectorization_chunk_size, overlap_size=self.config.data_vectorization_overlap_size, force_vectorize=False, add_as_a_bloc=False)
|
|
ASCIIColors.yellow("3- Indexing database")
|
|
self.notify("Indexing database",True, None)
|
|
self.discussions_store.index()
|
|
ASCIIColors.yellow("Ready")
|
|
except Exception as ex:
|
|
self.notify(f"Couldn't vectorize the database:{ex}",False, None)
|
|
|
|
|
|
return jsonify({"status":True})
|
|
|
|
|
|
def list_extensions_categories(self):
|
|
extensions_categories_dir = self.lollms_paths.extensions_zoo_path # replace with the actual path to the models folder
|
|
extensions_categories = [f.stem for f in extensions_categories_dir.iterdir() if f.is_dir() and not f.name.startswith(".")]
|
|
return jsonify(extensions_categories)
|
|
|
|
|
|
def list_discussions(self):
|
|
discussions = self.db.get_discussions()
|
|
return jsonify(discussions)
|
|
|
|
|
|
def delete_personality(self):
|
|
category = request.args.get('category')
|
|
name = request.args.get('name')
|
|
path = Path("personalities")/category/name
|
|
try:
|
|
shutil.rmtree(path)
|
|
return jsonify({'status':True})
|
|
except Exception as ex:
|
|
return jsonify({'status':False,'error':str(ex)})
|
|
|
|
def add_endpoint(
|
|
self,
|
|
endpoint=None,
|
|
endpoint_name=None,
|
|
handler=None,
|
|
methods=["GET"],
|
|
*args,
|
|
**kwargs,
|
|
):
|
|
self.app.add_url_rule(
|
|
endpoint, endpoint_name, handler, methods=methods, *args, **kwargs
|
|
)
|
|
|
|
def index(self):
|
|
return render_template("index.html")
|
|
|
|
def serve_static(self, filename):
|
|
root_dir = os.getcwd()
|
|
path = os.path.join(root_dir, 'web/dist/')+"/".join(filename.split("/")[:-1])
|
|
fn = filename.split("/")[-1]
|
|
return send_from_directory(path, fn)
|
|
|
|
|
|
def serve_images(self, filename):
|
|
root_dir = os.getcwd()
|
|
path = os.path.join(root_dir, 'images/')+"/".join(filename.split("/")[:-1])
|
|
|
|
fn = filename.split("/")[-1]
|
|
return send_from_directory(path, fn)
|
|
|
|
def serve_extensions(self, filename):
|
|
path = str(self.lollms_paths.extensions_zoo_path/("/".join(filename.split("/")[:-1])))
|
|
|
|
fn = filename.split("/")[-1]
|
|
return send_from_directory(path, fn)
|
|
|
|
|
|
|
|
def serve_bindings(self, filename):
|
|
path = str(self.lollms_paths.bindings_zoo_path/("/".join(filename.split("/")[:-1])))
|
|
|
|
fn = filename.split("/")[-1]
|
|
return send_from_directory(path, fn)
|
|
|
|
def serve_user_infos(self, filename):
|
|
path = str(self.lollms_paths.personal_user_infos_path/("/".join(filename.split("/")[:-1])))
|
|
|
|
fn = filename.split("/")[-1]
|
|
return send_from_directory(path, fn)
|
|
|
|
|
|
|
|
def serve_personalities(self, filename):
|
|
path = str(self.lollms_paths.personalities_zoo_path/("/".join(filename.split("/")[:-1])))
|
|
|
|
fn = filename.split("/")[-1]
|
|
return send_from_directory(path, fn)
|
|
|
|
def serve_outputs(self, filename):
|
|
root_dir = self.lollms_paths.personal_path / "outputs"
|
|
root_dir.mkdir(exist_ok=True, parents=True)
|
|
path = str(root_dir/"/".join(filename.split("/")[:-1]))
|
|
|
|
fn = filename.split("/")[-1]
|
|
return send_from_directory(path, fn)
|
|
|
|
def serve_help(self, filename):
|
|
root_dir = Path(__file__).parent/f"help"
|
|
root_dir.mkdir(exist_ok=True, parents=True)
|
|
path = str(root_dir/"/".join(filename.split("/")[:-1]))
|
|
|
|
fn = filename.split("/")[-1]
|
|
return send_from_directory(path, fn)
|
|
|
|
def serve_data(self, filename):
|
|
root_dir = self.lollms_paths.personal_path / "data"
|
|
root_dir.mkdir(exist_ok=True, parents=True)
|
|
path = str(root_dir/"/".join(filename.split("/")[:-1]))
|
|
|
|
fn = filename.split("/")[-1]
|
|
return send_from_directory(path, fn)
|
|
|
|
def serve_uploads(self, filename):
|
|
root_dir = self.lollms_paths.personal_path / "uploads"
|
|
root_dir.mkdir(exist_ok=True, parents=True)
|
|
|
|
path = str(root_dir/"/".join(filename.split("/")[:-1]))
|
|
|
|
fn = filename.split("/")[-1]
|
|
return send_from_directory(path, fn)
|
|
|
|
|
|
|
|
def export(self):
|
|
return jsonify(self.db.export_to_json())
|
|
|
|
def export_discussion(self):
|
|
return jsonify({"discussion_text":self.get_discussion_to()})
|
|
|
|
|
|
|
|
def get_generation_status(self):
|
|
return jsonify({"status":self.busy})
|
|
|
|
def stop_gen(self):
|
|
self.cancel_gen = True
|
|
return jsonify({"status": True})
|
|
|
|
|
|
def switch_personal_path(self):
|
|
data = request.get_json()
|
|
path = data["path"]
|
|
global_paths_cfg = Path("./global_paths_cfg.yaml")
|
|
if global_paths_cfg.exists():
|
|
try:
|
|
cfg = BaseConfig()
|
|
cfg.load_config(global_paths_cfg)
|
|
cfg.lollms_personal_path = path
|
|
cfg.save_config(global_paths_cfg)
|
|
return jsonify({"status": True})
|
|
except Exception as ex:
|
|
print(ex)
|
|
return jsonify({"status": False, 'error':f"Couldn't switch path: {ex}"})
|
|
|
|
def add_reference_to_local_model(self):
|
|
data = request.get_json()
|
|
if data["path"]=="":
|
|
return jsonify({"status": False, "error":"Empty model path"})
|
|
|
|
path = Path(data["path"])
|
|
if path.exists():
|
|
self.config.reference_model(path)
|
|
return jsonify({"status": True})
|
|
else:
|
|
return jsonify({"status": False, "error":"Model not found"})
|
|
|
|
def list_mounted_personalities(self):
|
|
ASCIIColors.yellow("- Listing mounted personalities")
|
|
return jsonify({"status": True,
|
|
"personalities":self.config["personalities"],
|
|
"active_personality_id":self.config["active_personality_id"]
|
|
})
|
|
|
|
def install_model_from_path(self):
|
|
from tkinter import Tk
|
|
from tkinter.filedialog import askopenfilename
|
|
|
|
ASCIIColors.info(f"- Selecting model ...")
|
|
# Define the file types
|
|
filetypes = [
|
|
("Model file", self.binding.supported_file_extensions),
|
|
]
|
|
# Create the Tkinter root window
|
|
root = Tk()
|
|
|
|
# Hide the root window
|
|
root.withdraw()
|
|
|
|
# Open the file dialog
|
|
file_path = askopenfilename(filetypes=filetypes)
|
|
|
|
file_path = Path(file_path)
|
|
#
|
|
with open(str(self.lollms_paths.personal_models_path/self.config.binding_name/(file_path.stem+".reference")),"w") as f:
|
|
f.write(file_path)
|
|
|
|
return jsonify({
|
|
"status": True
|
|
})
|
|
|
|
def reinstall_personality(self):
|
|
try:
|
|
data = request.get_json()
|
|
# Further processing of the data
|
|
except Exception as e:
|
|
print(f"Error occurred while parsing JSON: {e}")
|
|
return jsonify({"status":False, 'error':str(e)})
|
|
if not 'name' in data:
|
|
data['name']=self.config.personalities[self.config["active_personality_id"]]
|
|
try:
|
|
personality_path = lollms_paths.personalities_zoo_path / data['name']
|
|
ASCIIColors.info(f"- Reinstalling personality {data['name']}...")
|
|
ASCIIColors.info("Unmounting personality")
|
|
idx = self.config.personalities.index(data['name'])
|
|
print(f"index = {idx}")
|
|
self.mounted_personalities[idx] = None
|
|
gc.collect()
|
|
try:
|
|
self.mounted_personalities[idx] = AIPersonality(personality_path,
|
|
self.lollms_paths,
|
|
self.config,
|
|
model=self.model,
|
|
app=self,
|
|
run_scripts=True,installation_option=InstallOption.FORCE_INSTALL)
|
|
return jsonify({"status":True})
|
|
except Exception as ex:
|
|
ASCIIColors.error(f"Personality file not found or is corrupted ({data['name']}).\nReturned the following exception:{ex}\nPlease verify that the personality you have selected exists or select another personality. Some updates may lead to change in personality name or category, so check the personality selection in settings to be sure.")
|
|
ASCIIColors.info("Trying to force reinstall")
|
|
return jsonify({"status":False, 'error':str(e)})
|
|
|
|
except Exception as e:
|
|
return jsonify({"status":False, 'error':str(e)})
|
|
|
|
def post_to_personality(self):
|
|
data = request.get_json()
|
|
if hasattr(self.personality.processor,'handle_request'):
|
|
return self.personality.processor.handle_request(data)
|
|
else:
|
|
return jsonify({})
|
|
|
|
|
|
def reinstall_binding(self):
|
|
try:
|
|
data = request.get_json()
|
|
# Further processing of the data
|
|
except Exception as e:
|
|
print(f"Error occurred while parsing JSON: {e}")
|
|
return jsonify({"status":False, 'error':str(e)})
|
|
ASCIIColors.info(f"- Reinstalling binding {data['name']}...")
|
|
try:
|
|
ASCIIColors.info("Unmounting binding and model")
|
|
GG = AdvancedGarbageCollector()
|
|
GG.safeHardCollect("binding", self)
|
|
self.binding = None
|
|
gc.collect()
|
|
ASCIIColors.info("Reinstalling binding")
|
|
old_bn = self.config.binding_name
|
|
self.config.binding_name = data['name']
|
|
self.binding = BindingBuilder().build_binding(self.config, self.lollms_paths, InstallOption.FORCE_INSTALL)
|
|
ASCIIColors.success("Binding reinstalled successfully")
|
|
self.config.binding_name = old_bn
|
|
self.binding = BindingBuilder().build_binding(self.config, self.lollms_paths)
|
|
self.model = self.binding.build_model()
|
|
for per in self.mounted_personalities:
|
|
per.model = self.model
|
|
return jsonify({"status": True})
|
|
except Exception as ex:
|
|
ASCIIColors.error(f"Couldn't build binding: [{ex}]")
|
|
trace_exception(ex)
|
|
return jsonify({"status":False, 'error':str(ex)})
|
|
|
|
def unInstall_binding(self):
|
|
try:
|
|
data = request.get_json()
|
|
# Further processing of the data
|
|
except Exception as e:
|
|
print(f"Error occurred while parsing JSON: {e}")
|
|
return jsonify({"status":False, 'error':str(e)})
|
|
ASCIIColors.info(f"- UnInstalling binding {data['name']}...")
|
|
try:
|
|
ASCIIColors.info("Unmounting binding and model")
|
|
self.binding = None
|
|
self.model = None
|
|
for per in self.mounted_personalities:
|
|
per.model = None
|
|
gc.collect()
|
|
ASCIIColors.info("UnInstalling binding")
|
|
self.binding = BindingBuilder().build_binding(self.config, self.lollms_paths, InstallOption.FORCE_INSTALL)
|
|
self.binding.uninstall()
|
|
ASCIIColors.success("Binding UnInstalled successfully")
|
|
self.config.binding_name= None
|
|
if self.config.auto_save:
|
|
ASCIIColors.info("Saving configuration")
|
|
self.config.save_config()
|
|
ASCIIColors.info("Please select a binding")
|
|
return jsonify({"status": True})
|
|
except Exception as ex:
|
|
ASCIIColors.error(f"Couldn't uninstall binding: [{ex}]")
|
|
trace_exception(ex)
|
|
return jsonify({"status":False, 'error':str(ex)})
|
|
|
|
def clear_uploads(self):
|
|
ASCIIColors.info("")
|
|
ASCIIColors.info("")
|
|
ASCIIColors.info("")
|
|
ASCIIColors.info(" ╔══════════════════════════════════════════════════╗")
|
|
ASCIIColors.info(" ║ Removing all uploads ║")
|
|
ASCIIColors.info(" ╚══════════════════════════════════════════════════╝")
|
|
ASCIIColors.info("")
|
|
ASCIIColors.info("")
|
|
ASCIIColors.info("")
|
|
try:
|
|
folder_path = self.lollms_paths.personal_uploads_path
|
|
# Iterate over all files and directories in the folder
|
|
for entry in folder_path.iterdir():
|
|
if entry.is_file():
|
|
# Remove file
|
|
entry.unlink()
|
|
elif entry.is_dir():
|
|
# Remove directory (recursively)
|
|
shutil.rmtree(entry)
|
|
print(f"All files and directories inside '{folder_path}' have been removed successfully.")
|
|
return {"status": True}
|
|
except OSError as e:
|
|
ASCIIColors.error(f"Couldn't clear the upload folder.\nMaybe some files are opened somewhere else.\Try doing it manually")
|
|
return {"status": False, 'error': "Couldn't clear the upload folder.\nMaybe some files are opened somewhere else.\Try doing it manually"}
|
|
|
|
|
|
def update_software(self):
|
|
ASCIIColors.info("")
|
|
ASCIIColors.info("")
|
|
ASCIIColors.info("")
|
|
ASCIIColors.info(" ╔══════════════════════════════════════════════════╗")
|
|
ASCIIColors.info(" ║ Upgrading backend ║")
|
|
ASCIIColors.info(" ╚══════════════════════════════════════════════════╝")
|
|
ASCIIColors.info("")
|
|
ASCIIColors.info("")
|
|
ASCIIColors.info("")
|
|
# Perform a 'git pull' to check for updates
|
|
try:
|
|
# Execute 'git pull' and redirect the output to the console
|
|
process = subprocess.Popen(['git', 'pull'], stdout=subprocess.PIPE, stderr=subprocess.STDOUT, text=True)
|
|
|
|
# Read and print the output in real-time
|
|
while True:
|
|
output = process.stdout.readline()
|
|
if output == '' and process.poll() is not None:
|
|
break
|
|
if output:
|
|
print(output.strip())
|
|
|
|
# Wait for the process to finish and get the return code
|
|
return_code = process.poll()
|
|
|
|
if return_code == 0:
|
|
return {"status": True}
|
|
else:
|
|
return {"status": False, 'error': f"git pull failed with return code {return_code}"}
|
|
|
|
except subprocess.CalledProcessError as ex:
|
|
# There was an error in 'git pull' command
|
|
return {"status": False, 'error': str(ex)}
|
|
|
|
def selectdb(self):
|
|
from tkinter import Tk, filedialog
|
|
# Initialize Tkinter
|
|
root = Tk()
|
|
root.withdraw()
|
|
|
|
# Show file selection dialog
|
|
file_path = filedialog.askopenfilename()
|
|
|
|
def check_update(self):
|
|
if self.config.auto_update:
|
|
res = check_update_()
|
|
return jsonify({'update_availability':res})
|
|
else:
|
|
return jsonify({'update_availability':False})
|
|
|
|
def restart_program(self):
|
|
ASCIIColors.info("")
|
|
ASCIIColors.info("")
|
|
ASCIIColors.info("")
|
|
ASCIIColors.info(" ╔══════════════════════════════════════════════════╗")
|
|
ASCIIColors.info(" ║ Restarting backend ║")
|
|
ASCIIColors.info(" ╚══════════════════════════════════════════════════╝")
|
|
ASCIIColors.info("")
|
|
ASCIIColors.info("")
|
|
ASCIIColors.info("")
|
|
run_restart_script(self.args)
|
|
|
|
|
|
|
|
def update_software(self):
|
|
ASCIIColors.info("")
|
|
ASCIIColors.info("")
|
|
ASCIIColors.info("")
|
|
ASCIIColors.info(" ╔══════════════════════════════════════════════════╗")
|
|
ASCIIColors.info(" ║ Updating backend ║")
|
|
ASCIIColors.info(" ╚══════════════════════════════════════════════════╝")
|
|
ASCIIColors.info("")
|
|
ASCIIColors.info("")
|
|
ASCIIColors.info("")
|
|
run_update_script(self.args)
|
|
|
|
def get_current_personality_files_list(self):
|
|
if self.personality is None:
|
|
return jsonify({"state":False, "error":"No personality selected"})
|
|
return jsonify({"state":True, "files":[{"name":Path(f).name, "size":Path(f).stat().st_size} for f in self.personality.files]})
|
|
|
|
def clear_personality_files_list(self):
|
|
if self.personality is None:
|
|
return jsonify({"state":False, "error":"No personality selected"})
|
|
self.personality.remove_all_files()
|
|
return jsonify({"state":True})
|
|
|
|
def start_training(self):
|
|
if self.config.enable_gpu:
|
|
if not self.lollms_paths.gptqlora_path.exists():
|
|
# Clone the repository to the target path
|
|
ASCIIColors.info("No gptqlora found in your personal space.\nCloning the gptqlora repo")
|
|
subprocess.run(["git", "clone", gptqlora_repo, self.lollms_paths.gptqlora_path])
|
|
subprocess.run(["pip", "install", "-r", "requirements.txt"], cwd=self.lollms_paths.gptqlora_path)
|
|
|
|
data = request.get_json()
|
|
ASCIIColors.info(f"--- Trainging of model {data['model_name']} requested ---")
|
|
ASCIIColors.info(f"Cleaning memory:")
|
|
fn = self.binding.binding_folder_name
|
|
del self.binding
|
|
self.binding = None
|
|
self.model = None
|
|
for per in self.mounted_personalities:
|
|
per.model = None
|
|
gc.collect()
|
|
ASCIIColors.info(f"issuing command : python gptqlora.py --model_path {self.lollms_paths.personal_models_path/fn/data['model_name']}")
|
|
subprocess.run(["python", "gptqlora.py", "--model_path", self.lollms_paths.personal_models_path/fn/data["model_name"]],cwd=self.lollms_paths.gptqlora_path)
|
|
return jsonify({'status':True})
|
|
|
|
def get_lollms_version(self):
|
|
version = pkg_resources.get_distribution('lollms').version
|
|
ASCIIColors.yellow("Lollms version : "+ version)
|
|
return jsonify({"version":version})
|
|
|
|
def get_lollms_webui_version(self):
|
|
version = __version__
|
|
ASCIIColors.yellow("Lollms webui version : "+ version)
|
|
return jsonify({"version":version})
|
|
|
|
|
|
def reload_binding(self):
|
|
try:
|
|
data = request.get_json()
|
|
# Further processing of the data
|
|
except Exception as e:
|
|
print(f"Error occurred while parsing JSON: {e}")
|
|
return jsonify({"status":False, 'error':str(e)})
|
|
ASCIIColors.info(f"- Reloading binding {data['name']}...")
|
|
try:
|
|
ASCIIColors.info("Unmounting binding and model")
|
|
self.binding = None
|
|
self.model = None
|
|
for personality in self.mounted_personalities:
|
|
personality.model = None
|
|
gc.collect()
|
|
ASCIIColors.info("Reloading binding")
|
|
self.binding = BindingBuilder().build_binding(self.config, self.lollms_paths)
|
|
ASCIIColors.info("Binding loaded successfully")
|
|
|
|
try:
|
|
ASCIIColors.info("Reloading model")
|
|
self.model = self.binding.build_model()
|
|
ASCIIColors.info("Model reloaded successfully")
|
|
except Exception as ex:
|
|
print(f"Couldn't build model: [{ex}]")
|
|
trace_exception(ex)
|
|
try:
|
|
self.rebuild_personalities(reload_all=True)
|
|
except Exception as ex:
|
|
print(f"Couldn't reload personalities: [{ex}]")
|
|
return jsonify({"status": True})
|
|
except Exception as ex:
|
|
ASCIIColors.error(f"Couldn't build binding: [{ex}]")
|
|
trace_exception(ex)
|
|
return jsonify({"status":False, 'error':str(ex)})
|
|
|
|
|
|
|
|
|
|
def p_mount_personality(self):
|
|
print("- Mounting personality")
|
|
try:
|
|
data = request.get_json()
|
|
# Further processing of the data
|
|
except Exception as e:
|
|
print(f"Error occurred while parsing JSON: {e}")
|
|
return
|
|
category = data['category']
|
|
name = data['folder']
|
|
|
|
language = data.get('language', None)
|
|
|
|
package_path = f"{category}/{name}"
|
|
package_full_path = self.lollms_paths.personalities_zoo_path/package_path
|
|
config_file = package_full_path / "config.yaml"
|
|
if config_file.exists():
|
|
if language:
|
|
package_path += ":" + language
|
|
"""
|
|
if package_path in self.config["personalities"]:
|
|
ASCIIColors.error("Can't mount exact same personality twice")
|
|
return jsonify({"status": False,
|
|
"error":"Can't mount exact same personality twice",
|
|
"personalities":self.config["personalities"],
|
|
"active_personality_id":self.config["active_personality_id"]
|
|
})
|
|
"""
|
|
self.config["personalities"].append(package_path)
|
|
self.mounted_personalities = self.rebuild_personalities()
|
|
self.config["active_personality_id"]= len(self.config["personalities"])-1
|
|
self.personality = self.mounted_personalities[self.config["active_personality_id"]]
|
|
ASCIIColors.success("ok")
|
|
if self.config["active_personality_id"]<0:
|
|
ASCIIColors.error("error:active_personality_id<0")
|
|
return jsonify({"status": False,
|
|
"error":"active_personality_id<0",
|
|
"personalities":self.config["personalities"],
|
|
"active_personality_id":self.config["active_personality_id"]
|
|
})
|
|
else:
|
|
if self.config.auto_save:
|
|
ASCIIColors.info("Saving configuration")
|
|
self.config.save_config()
|
|
ASCIIColors.success(f"Personality {name} mounted successfully")
|
|
return jsonify({"status": True,
|
|
"personalities":self.config["personalities"],
|
|
"active_personality_id":self.config["active_personality_id"]
|
|
})
|
|
else:
|
|
pth = str(config_file).replace('\\','/')
|
|
ASCIIColors.error(f"nok : Personality not found @ {pth}")
|
|
ASCIIColors.yellow(f"Available personalities: {[p.name for p in self.mounted_personalities]}")
|
|
return jsonify({"status": False, "error":f"Personality not found @ {pth}"})
|
|
|
|
|
|
|
|
def p_remount_personality(self):
|
|
print("- Remounting personality")
|
|
try:
|
|
data = request.get_json()
|
|
# Further processing of the data
|
|
except Exception as e:
|
|
print(f"Error occurred while parsing JSON: {e}")
|
|
return
|
|
category = data['category']
|
|
name = data['folder']
|
|
|
|
|
|
|
|
|
|
package_path = f"{category}/{name}"
|
|
package_full_path = self.lollms_paths.personalities_zoo_path/package_path
|
|
config_file = package_full_path / "config.yaml"
|
|
if config_file.exists():
|
|
ASCIIColors.info(f"Unmounting personality {package_path}")
|
|
index = self.config["personalities"].index(f"{category}/{name}")
|
|
self.config["personalities"].remove(f"{category}/{name}")
|
|
if self.config["active_personality_id"]>=index:
|
|
self.config["active_personality_id"]=0
|
|
if len(self.config["personalities"])>0:
|
|
self.mounted_personalities = self.rebuild_personalities()
|
|
self.personality = self.mounted_personalities[self.config["active_personality_id"]]
|
|
else:
|
|
self.personalities = ["generic/lollms"]
|
|
self.mounted_personalities = self.rebuild_personalities()
|
|
self.personality = self.mounted_personalities[self.config["active_personality_id"]]
|
|
|
|
|
|
ASCIIColors.info(f"Mounting personality {package_path}")
|
|
self.config["personalities"].append(package_path)
|
|
self.config["active_personality_id"]= len(self.config["personalities"])-1
|
|
self.mounted_personalities = self.rebuild_personalities()
|
|
self.personality = self.mounted_personalities[self.config["active_personality_id"]]
|
|
ASCIIColors.success("ok")
|
|
if self.config["active_personality_id"]<0:
|
|
return jsonify({"status": False,
|
|
"personalities":self.config["personalities"],
|
|
"active_personality_id":self.config["active_personality_id"]
|
|
})
|
|
else:
|
|
return jsonify({"status": True,
|
|
"personalities":self.config["personalities"],
|
|
"active_personality_id":self.config["active_personality_id"]
|
|
})
|
|
else:
|
|
pth = str(config_file).replace('\\','/')
|
|
ASCIIColors.error(f"nok : Personality not found @ {pth}")
|
|
ASCIIColors.yellow(f"Available personalities: {[p.name for p in self.mounted_personalities]}")
|
|
return jsonify({"status": False, "error":f"Personality not found @ {pth}"})
|
|
|
|
def p_unmount_personality(self):
|
|
print("- Unmounting personality ...")
|
|
try:
|
|
data = request.get_json()
|
|
# Further processing of the data
|
|
except Exception as e:
|
|
print(f"Error occurred while parsing JSON: {e}")
|
|
return
|
|
category = data['category']
|
|
name = data['folder']
|
|
language = data.get('language',None)
|
|
try:
|
|
personality_id = f"{category}/{name}" if language is None else f"{category}/{name}:{language}"
|
|
index = self.config["personalities"].index(personality_id)
|
|
self.config["personalities"].remove(personality_id)
|
|
if self.config["active_personality_id"]>=index:
|
|
self.config["active_personality_id"]=0
|
|
if len(self.config["personalities"])>0:
|
|
self.mounted_personalities = self.rebuild_personalities()
|
|
self.personality = self.mounted_personalities[self.config["active_personality_id"]]
|
|
else:
|
|
self.personalities = ["generic/lollms"]
|
|
self.mounted_personalities = self.rebuild_personalities()
|
|
if self.config["active_personality_id"]<len(self.mounted_personalities):
|
|
self.personality = self.mounted_personalities[self.config["active_personality_id"]]
|
|
else:
|
|
self.config["active_personality_id"] = -1
|
|
ASCIIColors.success("ok")
|
|
if self.config.auto_save:
|
|
ASCIIColors.info("Saving configuration")
|
|
self.config.save_config()
|
|
return jsonify({
|
|
"status": True,
|
|
"personalities":self.config["personalities"],
|
|
"active_personality_id":self.config["active_personality_id"]
|
|
})
|
|
except Exception as ex:
|
|
trace_exception(ex)
|
|
if language:
|
|
ASCIIColors.error(f"nok : Personality not found @ {category}/{name}:{language}")
|
|
else:
|
|
ASCIIColors.error(f"nok : Personality not found @ {category}/{name}")
|
|
|
|
ASCIIColors.yellow(f"Available personalities: {[p.name for p in self.mounted_personalities]}")
|
|
return jsonify({"status": False, "error":"Couldn't unmount personality"})
|
|
|
|
def get_active_personality_settings(self):
|
|
print("- Retreiving personality settings")
|
|
if self.personality.processor is not None:
|
|
if hasattr(self.personality.processor,"personality_config"):
|
|
return jsonify(self.personality.processor.personality_config.config_template.template)
|
|
else:
|
|
return jsonify({})
|
|
else:
|
|
return jsonify({})
|
|
|
|
def get_active_binding_settings(self):
|
|
print("- Retreiving binding settings")
|
|
if self.binding is not None:
|
|
if hasattr(self.binding,"binding_config"):
|
|
return jsonify(self.binding.binding_config.config_template.template)
|
|
else:
|
|
return jsonify({})
|
|
else:
|
|
return jsonify({})
|
|
|
|
|
|
def set_active_personality_settings(self):
|
|
print("- Setting personality settings")
|
|
try:
|
|
data = request.get_json()
|
|
# Further processing of the data
|
|
except Exception as e:
|
|
print(f"Error occurred while parsing JSON: {e}")
|
|
return
|
|
|
|
if self.personality.processor is not None:
|
|
if hasattr(self.personality.processor,"personality_config"):
|
|
self.personality.processor.personality_config.update_template(data)
|
|
self.personality.processor.personality_config.config.save_config()
|
|
if self.config.auto_save:
|
|
ASCIIColors.info("Saving configuration")
|
|
self.config.save_config()
|
|
return jsonify({'status':True})
|
|
else:
|
|
return jsonify({'status':False})
|
|
else:
|
|
return jsonify({'status':False})
|
|
|
|
|
|
|
|
def p_mount_extension(self):
|
|
print("- Mounting extension")
|
|
try:
|
|
data = request.get_json()
|
|
# Further processing of the data
|
|
except Exception as e:
|
|
print(f"Error occurred while parsing JSON: {e}")
|
|
return
|
|
category = data['category']
|
|
name = data['folder']
|
|
|
|
package_path = f"{category}/{name}"
|
|
package_full_path = self.lollms_paths.extensions_zoo_path/package_path
|
|
config_file = package_full_path / "config.yaml"
|
|
if config_file.exists():
|
|
self.config["extensions"].append(package_path)
|
|
self.mounted_extensions = self.rebuild_extensions()
|
|
ASCIIColors.success("ok")
|
|
if self.config.auto_save:
|
|
ASCIIColors.info("Saving configuration")
|
|
self.config.save_config()
|
|
ASCIIColors.success(f"Extension {name} mounted successfully")
|
|
return jsonify({"status": True,
|
|
"extensions":self.config["extensions"],
|
|
})
|
|
else:
|
|
pth = str(config_file).replace('\\','/')
|
|
ASCIIColors.error(f"nok : Extension not found @ {pth}")
|
|
return jsonify({"status": False, "error":f"Extension not found @ {pth}"})
|
|
|
|
|
|
|
|
def p_remount_extension(self):
|
|
print("- Remounting extension")
|
|
try:
|
|
data = request.get_json()
|
|
# Further processing of the data
|
|
except Exception as e:
|
|
print(f"Error occurred while parsing JSON: {e}")
|
|
return
|
|
category = data['category']
|
|
name = data['folder']
|
|
|
|
|
|
|
|
|
|
package_path = f"{category}/{name}"
|
|
package_full_path = self.lollms_paths.extensions_zoo_path/package_path
|
|
config_file = package_full_path / "config.yaml"
|
|
if config_file.exists():
|
|
ASCIIColors.info(f"Unmounting personality {package_path}")
|
|
index = self.config["extensions"].index(f"{category}/{name}")
|
|
self.config["extensions"].remove(f"{category}/{name}")
|
|
if len(self.config["extensions"])>0:
|
|
self.mounted_personalities = self.rebuild_extensions()
|
|
else:
|
|
self.personalities = ["generic/lollms"]
|
|
self.mounted_personalities = self.rebuild_extensions()
|
|
|
|
|
|
ASCIIColors.info(f"Mounting personality {package_path}")
|
|
self.config["personalities"].append(package_path)
|
|
self.mounted_personalities = self.rebuild_extensions()
|
|
ASCIIColors.success("ok")
|
|
if self.config["active_personality_id"]<0:
|
|
return jsonify({"status": False,
|
|
"personalities":self.config["personalities"],
|
|
"active_personality_id":self.config["active_personality_id"]
|
|
})
|
|
else:
|
|
return jsonify({"status": True,
|
|
"personalities":self.config["personalities"],
|
|
"active_personality_id":self.config["active_personality_id"]
|
|
})
|
|
else:
|
|
pth = str(config_file).replace('\\','/')
|
|
ASCIIColors.error(f"nok : Personality not found @ {pth}")
|
|
ASCIIColors.yellow(f"Available personalities: {[p.name for p in self.mounted_personalities]}")
|
|
return jsonify({"status": False, "error":f"Personality not found @ {pth}"})
|
|
|
|
def p_unmount_extension(self):
|
|
print("- Unmounting extension ...")
|
|
try:
|
|
data = request.get_json()
|
|
# Further processing of the data
|
|
except Exception as e:
|
|
print(f"Error occurred while parsing JSON: {e}")
|
|
return
|
|
category = data['category']
|
|
name = data['folder']
|
|
language = data.get('language',None)
|
|
try:
|
|
personality_id = f"{category}/{name}" if language is None else f"{category}/{name}:{language}"
|
|
index = self.config["personalities"].index(personality_id)
|
|
self.config["extensions"].remove(personality_id)
|
|
self.mounted_extensions = self.rebuild_extensions()
|
|
ASCIIColors.success("ok")
|
|
if self.config.auto_save:
|
|
ASCIIColors.info("Saving configuration")
|
|
self.config.save_config()
|
|
return jsonify({
|
|
"status": True,
|
|
"extensions":self.config["extensions"]
|
|
})
|
|
except:
|
|
if language:
|
|
ASCIIColors.error(f"nok : Personality not found @ {category}/{name}:{language}")
|
|
else:
|
|
ASCIIColors.error(f"nok : Personality not found @ {category}/{name}")
|
|
|
|
ASCIIColors.yellow(f"Available personalities: {[p.name for p in self.mounted_personalities]}")
|
|
return jsonify({"status": False, "error":"Couldn't unmount personality"})
|
|
|
|
|
|
def set_active_binding_settings(self):
|
|
print("- Setting binding settings")
|
|
try:
|
|
data = request.get_json()
|
|
# Further processing of the data
|
|
except Exception as e:
|
|
print(f"Error occurred while parsing JSON: {e}")
|
|
return
|
|
|
|
if self.binding is not None:
|
|
if hasattr(self.binding,"binding_config"):
|
|
for entry in data:
|
|
if entry["type"]=="list" and type(entry["value"])==str:
|
|
try:
|
|
v = json.loads(entry["value"])
|
|
except:
|
|
v= ""
|
|
if type(v)==list:
|
|
entry["value"] = v
|
|
else:
|
|
entry["value"] = [entry["value"]]
|
|
self.binding.binding_config.update_template(data)
|
|
self.binding.binding_config.config.save_config()
|
|
self.binding = None
|
|
self.model = None
|
|
for per in self.mounted_personalities:
|
|
per.model = None
|
|
gc.collect()
|
|
self.binding= BindingBuilder().build_binding(self.config, self.lollms_paths)
|
|
self.model = self.binding.build_model()
|
|
if self.config.auto_save:
|
|
ASCIIColors.info("Saving configuration")
|
|
self.config.save_config()
|
|
return jsonify({'status':True})
|
|
else:
|
|
return jsonify({'status':False})
|
|
else:
|
|
return jsonify({'status':False})
|
|
|
|
|
|
def get_personality_settings(self):
|
|
print("- Retreiving personality settings")
|
|
try:
|
|
data = request.get_json()
|
|
# Further processing of the data
|
|
except Exception as e:
|
|
print(f"Error occurred while parsing JSON: {e}")
|
|
return
|
|
category = data['category']
|
|
name = data['folder']
|
|
|
|
if category.startswith("personal"):
|
|
personality_folder = self.lollms_paths.personal_personalities_path/f"{category}"/f"{name}"
|
|
else:
|
|
personality_folder = self.lollms_paths.personalities_zoo_path/f"{category}"/f"{name}"
|
|
|
|
personality = AIPersonality(personality_folder,
|
|
self.lollms_paths,
|
|
self.config,
|
|
model=self.model,
|
|
app=self,
|
|
run_scripts=True)
|
|
if personality.processor is not None:
|
|
if hasattr(personality.processor,"personality_config"):
|
|
return jsonify(personality.processor.personality_config.config_template.template)
|
|
else:
|
|
return jsonify({})
|
|
else:
|
|
return jsonify({})
|
|
|
|
|
|
def p_select_personality(self):
|
|
data = request.get_json()
|
|
id = data['id']
|
|
print(f"- Selecting active personality {id} ...",end="")
|
|
if id<len(self.mounted_personalities):
|
|
self.config["active_personality_id"]=id
|
|
self.personality = self.mounted_personalities[self.config["active_personality_id"]]
|
|
ASCIIColors.success("ok")
|
|
print(f"Selected {self.personality.name}")
|
|
if self.config.auto_save:
|
|
ASCIIColors.info("Saving configuration")
|
|
self.config.save_config()
|
|
return jsonify({
|
|
"status": True,
|
|
"personalities":self.config["personalities"],
|
|
"active_personality_id":self.config["active_personality_id"]
|
|
})
|
|
else:
|
|
ASCIIColors.error(f"nok : personality id out of bounds @ {id} >= {len(self.mounted_personalities)}")
|
|
return jsonify({"status": False, "error":"Invalid ID"})
|
|
|
|
|
|
def add_model_reference(self):
|
|
try:
|
|
ASCIIColors.info("Creating a model reference")
|
|
path = Path(request.path)
|
|
ref_path=self.lollms_paths.personal_models_path/self.config.binding_name/(path.name+".reference")
|
|
with open(ref_path,"w") as f:
|
|
f.write(str(path))
|
|
|
|
return jsonify({"status": True})
|
|
except Exception as ex:
|
|
ASCIIColors.error(ex)
|
|
trace_exception(ex)
|
|
return jsonify({"status": False})
|
|
|
|
def upload_model(self):
|
|
file = request.files['file']
|
|
file.save(self.lollms_paths.personal_models_path/self.config.binding_name/file.filename)
|
|
return jsonify({"status": True})
|
|
|
|
def upload_avatar(self):
|
|
file = request.files['avatar']
|
|
file.save(self.lollms_paths.personal_user_infos_path/file.filename)
|
|
return jsonify({"status": True,"fileName":file.filename})
|
|
|
|
|
|
|
|
def rename(self):
|
|
data = request.get_json()
|
|
client_id = data["client_id"]
|
|
title = data["title"]
|
|
self.connections[client_id]["current_discussion"].rename(title)
|
|
return "renamed successfully"
|
|
|
|
def edit_title(self):
|
|
data = request.get_json()
|
|
client_id = data["client_id"]
|
|
title = data["title"]
|
|
discussion_id = data["id"]
|
|
self.connections[client_id]["current_discussion"] = Discussion(discussion_id, self.db)
|
|
self.connections[client_id]["current_discussion"].rename(title)
|
|
return jsonify({'status':True})
|
|
|
|
def delete_discussion(self):
|
|
data = request.get_json()
|
|
client_id = data["client_id"]
|
|
discussion_id = data["id"]
|
|
self.connections[client_id]["current_discussion"] = Discussion(discussion_id, self.db)
|
|
self.connections[client_id]["current_discussion"].delete_discussion()
|
|
self.connections[client_id]["current_discussion"] = None
|
|
return jsonify({'status':True})
|
|
|
|
def edit_message(self):
|
|
client_id = request.args.get("client_id")
|
|
message_id = request.args.get("id")
|
|
new_message = request.args.get("message")
|
|
try:
|
|
self.connections[client_id]["current_discussion"].edit_message(message_id, new_message)
|
|
return jsonify({"status": True})
|
|
except Exception as ex:
|
|
trace_exception(ex)
|
|
return jsonify({"status": False, "error":str(ex)})
|
|
|
|
|
|
def message_rank_up(self):
|
|
client_id = request.args.get("client_id")
|
|
discussion_id = request.args.get("id")
|
|
try:
|
|
new_rank = self.connections[client_id]["current_discussion"].message_rank_up(discussion_id)
|
|
return jsonify({"status": True, "new_rank": new_rank})
|
|
except Exception as ex:
|
|
return jsonify({"status": False, "error":str(ex)})
|
|
|
|
def message_rank_down(self):
|
|
client_id = request.args.get("client_id")
|
|
discussion_id = request.args.get("id")
|
|
try:
|
|
new_rank = self.connections[client_id]["current_discussion"].message_rank_down(discussion_id)
|
|
return jsonify({"status": True, "new_rank": new_rank})
|
|
except Exception as ex:
|
|
return jsonify({"status": False, "error":str(ex)})
|
|
|
|
def delete_message(self):
|
|
client_id = request.args.get("client_id")
|
|
discussion_id = request.args.get("id")
|
|
if self.connections[client_id]["current_discussion"] is None:
|
|
return jsonify({"status": False,"message":"No discussion is selected"})
|
|
else:
|
|
new_rank = self.connections[client_id]["current_discussion"].delete_message(discussion_id)
|
|
ASCIIColors.yellow("Message deleted")
|
|
return jsonify({"status":True,"new_rank": new_rank})
|
|
|
|
|
|
def get_available_models(self):
|
|
"""Get the available models
|
|
|
|
Returns:
|
|
_type_: _description_
|
|
"""
|
|
if self.binding is None:
|
|
return jsonify([])
|
|
model_list = self.binding.get_available_models()
|
|
return jsonify(model_list)
|
|
|
|
|
|
def train(self):
|
|
form_data = request.form
|
|
|
|
# Create and populate the config file
|
|
config = {
|
|
'model_name': form_data['model_name'],
|
|
'tokenizer_name': form_data['tokenizer_name'],
|
|
'dataset_path': form_data['dataset_path'],
|
|
'max_length': form_data['max_length'],
|
|
'batch_size': form_data['batch_size'],
|
|
'lr': form_data['lr'],
|
|
'num_epochs': form_data['num_epochs'],
|
|
'output_dir': form_data['output_dir'],
|
|
}
|
|
|
|
with open('train/configs/train/local_cfg.yaml', 'w') as f:
|
|
yaml.dump(config, f)
|
|
|
|
# Trigger the train.py script
|
|
# Place your code here to run the train.py script with the created config file
|
|
# accelerate launch --dynamo_backend=inductor --num_processes=8 --num_machines=1 --machine_rank=0 --deepspeed_multinode_launcher standard --mixed_precision=bf16 --use_deepspeed --deepspeed_config_file=configs/deepspeed/ds_config_gptj.json train.py --config configs/train/finetune_gptj.yaml
|
|
|
|
subprocess.check_call(["accelerate","launch", "--dynamo_backend=inductor", "--num_processes=8", "--num_machines=1", "--machine_rank=0", "--deepspeed_multinode_launcher standard", "--mixed_precision=bf16", "--use_deepspeed", "--deepspeed_config_file=train/configs/deepspeed/ds_config_gptj.json", "train/train.py", "--config", "train/configs/train/local_cfg.yaml"])
|
|
|
|
return jsonify({'message': 'Training started'})
|
|
|
|
def get_config(self):
|
|
return jsonify(self.config.to_dict())
|
|
|
|
def get_current_personality_path_infos(self):
|
|
if self.personality is None:
|
|
return jsonify({
|
|
"personality_category":"",
|
|
"personality_name":""
|
|
})
|
|
else:
|
|
return jsonify({
|
|
"personality_category":self.personality_category,
|
|
"personality_name":self.personality_name
|
|
})
|
|
|
|
def main(self):
|
|
return render_template("main.html")
|
|
|
|
def settings(self):
|
|
return render_template("settings.html")
|
|
|
|
def help(self):
|
|
return render_template("help.html")
|
|
|
|
def training(self):
|
|
return render_template("training.html")
|
|
|
|
def extensions(self):
|
|
return render_template("extensions.html")
|
|
|
|
def sync_cfg(default_config, config):
|
|
"""Syncs a configuration with the default configuration
|
|
|
|
Args:
|
|
default_config (_type_): _description_
|
|
config (_type_): _description_
|
|
|
|
Returns:
|
|
_type_: _description_
|
|
"""
|
|
added_entries = []
|
|
removed_entries = []
|
|
|
|
# Ensure all fields from default_config exist in config
|
|
for key, value in default_config.items():
|
|
if key not in config:
|
|
config[key] = value
|
|
added_entries.append(key)
|
|
|
|
# Remove fields from config that don't exist in default_config
|
|
for key in list(config.config.keys()):
|
|
if key not in default_config:
|
|
del config.config[key]
|
|
removed_entries.append(key)
|
|
|
|
config["version"]=default_config["version"]
|
|
|
|
return config, added_entries, removed_entries
|
|
|
|
if __name__ == "__main__":
|
|
lollms_paths = LollmsPaths.find_paths(force_local=True, custom_default_cfg_path="configs/config.yaml")
|
|
db_folder = lollms_paths.personal_path/"databases"
|
|
db_folder.mkdir(parents=True, exist_ok=True)
|
|
|
|
# Parsong parameters
|
|
parser = argparse.ArgumentParser(description="Start the chatbot Flask app.")
|
|
|
|
parser.add_argument(
|
|
"-c", "--config", type=str, default="local_config", help="Sets the configuration file to be used."
|
|
)
|
|
|
|
parser.add_argument(
|
|
"-p", "--personality", type=str, default=None, help="Selects the personality to be using."
|
|
)
|
|
|
|
parser.add_argument(
|
|
"-s", "--seed", type=int, default=None, help="Force using a specific seed value."
|
|
)
|
|
|
|
parser.add_argument(
|
|
"-m", "--model", type=str, default=None, help="Force using a specific model."
|
|
)
|
|
parser.add_argument(
|
|
"--temp", type=float, default=None, help="Temperature parameter for the model."
|
|
)
|
|
parser.add_argument(
|
|
"--n_predict",
|
|
type=int,
|
|
default=None,
|
|
help="Number of tokens to predict at each step.",
|
|
)
|
|
parser.add_argument(
|
|
"--n_threads",
|
|
type=int,
|
|
default=None,
|
|
help="Number of threads to use.",
|
|
)
|
|
parser.add_argument(
|
|
"--top_k", type=int, default=None, help="Value for the top-k sampling."
|
|
)
|
|
parser.add_argument(
|
|
"--top_p", type=float, default=None, help="Value for the top-p sampling."
|
|
)
|
|
parser.add_argument(
|
|
"--repeat_penalty", type=float, default=None, help="Penalty for repeated tokens."
|
|
)
|
|
parser.add_argument(
|
|
"--repeat_last_n",
|
|
type=int,
|
|
default=None,
|
|
help="Number of previous tokens to consider for the repeat penalty.",
|
|
)
|
|
parser.add_argument(
|
|
"--ctx_size",
|
|
type=int,
|
|
default=None,#2048,
|
|
help="Size of the context window for the model.",
|
|
)
|
|
parser.add_argument(
|
|
"--debug",
|
|
dest="debug",
|
|
action="store_true",
|
|
default=None,
|
|
help="launch Flask server in debug mode",
|
|
)
|
|
parser.add_argument(
|
|
"--host", type=str, default=None, help="the hostname to listen on"
|
|
)
|
|
parser.add_argument("--port", type=int, default=None, help="the port to listen on")
|
|
parser.add_argument(
|
|
"--db_path", type=str, default=None, help="Database path"
|
|
)
|
|
args = parser.parse_args()
|
|
|
|
# Configuration loading part
|
|
config = LOLLMSConfig.autoload(lollms_paths)
|
|
|
|
# Override values in config with command-line arguments
|
|
for arg_name, arg_value in vars(args).items():
|
|
if arg_value is not None:
|
|
config[arg_name] = arg_value
|
|
|
|
# Copy user
|
|
# Assuming the current file's directory contains the 'assets' subfolder
|
|
current_file_dir = Path(__file__).parent
|
|
assets_dir = current_file_dir / "assets"
|
|
default_user_avatar = assets_dir / "default_user.svg"
|
|
user_avatar_path = lollms_paths.personal_user_infos_path / "default_user.svg"
|
|
if not user_avatar_path.exists():
|
|
# If the user avatar doesn't exist, copy the default avatar from the assets folder
|
|
shutil.copy(default_user_avatar, user_avatar_path)
|
|
# executor = ThreadPoolExecutor(max_workers=1)
|
|
# app.config['executor'] = executor
|
|
# Check if .no_gpu file exists
|
|
no_gpu_file = Path('.no_gpu')
|
|
if no_gpu_file.exists():
|
|
# If the file exists, change self.config.use_gpu to False
|
|
config.enable_gpu = False
|
|
config.save_config()
|
|
|
|
# Remove the .no_gpu file
|
|
no_gpu_file.unlink()
|
|
|
|
bot = LoLLMsWebUI(args, app, socketio, config, config.file_path, lollms_paths)
|
|
|
|
# chong Define custom WebSocketHandler with error handling
|
|
class CustomWebSocketHandler(WebSocketHandler):
|
|
def handle_error(self, environ, start_response, e):
|
|
# Handle the error here
|
|
print("WebSocket error:", e)
|
|
super().handle_error(environ, start_response, e)
|
|
|
|
|
|
|
|
# chong -add socket server
|
|
app.config['debug'] = config["debug"]
|
|
|
|
if config["debug"]:
|
|
ASCIIColors.info("debug mode:true")
|
|
else:
|
|
ASCIIColors.info("debug mode:false")
|
|
|
|
|
|
url = f'http://{config["host"]}:{config["port"]}'
|
|
if config["host"]!="localhost":
|
|
print(f'Please open your browser and go to http://localhost:{config["port"]} to view the ui')
|
|
ASCIIColors.success(f'This server is visible from a remote PC. use this address http://{get_ip_address()}:{config["port"]}')
|
|
else:
|
|
print(f"Please open your browser and go to {url} to view the ui")
|
|
|
|
# if autoshow
|
|
if config.auto_show_browser:
|
|
webbrowser.open(f"http://{config['host']}:{config['port']}")
|
|
socketio.run(app, host=config["host"], port=config["port"],
|
|
# prevent error: The Werkzeug web server is not designed to run in production
|
|
allow_unsafe_werkzeug=True)
|
|
# http_server = WSGIServer((config["host"], config["port"]), app, handler_class=WebSocketHandler)
|
|
# http_server.serve_forever()
|