mirror of
https://github.com/ParisNeo/lollms-webui.git
synced 2024-12-30 09:08:51 +00:00
908 lines
45 KiB
Python
908 lines
45 KiB
Python
######
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# Project : lollms-webui
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# File : api.py
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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 simple api to communicate with lollms-webui and its models.
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######
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from flask import request
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from datetime import datetime
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from api.db import DiscussionsDB
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from api.helpers import compare_lists
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from pathlib import Path
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import importlib
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from lollms.config import InstallOption
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from lollms.types import MSG_TYPE
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from lollms.personality import AIPersonality, PersonalityBuilder
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from lollms.binding import LOLLMSConfig, BindingBuilder, LLMBinding, ModelBuilder
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from lollms.paths import LollmsPaths
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from lollms.helpers import ASCIIColors
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import multiprocessing as mp
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import threading
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import time
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import requests
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from tqdm import tqdm
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import traceback
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import sys
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from lollms.console import MainMenu
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import urllib
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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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import subprocess
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import pkg_resources
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# ===========================================================
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# Manage automatic install scripts
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def is_package_installed(package_name):
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try:
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dist = pkg_resources.get_distribution(package_name)
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return True
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except pkg_resources.DistributionNotFound:
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return False
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def install_package(package_name):
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try:
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# Check if the package is already installed
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__import__(package_name)
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print(f"{package_name} is already installed.")
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except ImportError:
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print(f"{package_name} is not installed. Installing...")
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# Install the package using pip
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subprocess.check_call(["pip", "install", package_name])
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print(f"{package_name} has been successfully installed.")
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def parse_requirements_file(requirements_path):
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with open(requirements_path, 'r') as f:
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for line in f:
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line = line.strip()
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if not line or line.startswith('#'):
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# Skip empty and commented lines
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continue
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package_name, _, version_specifier = line.partition('==')
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package_name, _, version_specifier = line.partition('>=')
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if is_package_installed(package_name):
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# The package is already installed
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print(f"{package_name} is already installed.")
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else:
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# The package is not installed, install it
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if version_specifier:
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install_package(f"{package_name}{version_specifier}")
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else:
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install_package(package_name)
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# ===========================================================
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class LoLLMsAPPI():
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def __init__(self, config:LOLLMSConfig, socketio, config_file_path:str, lollms_paths: LollmsPaths) -> None:
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self.lollms_paths = lollms_paths
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self.config = config
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self.is_ready = True
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self.menu = MainMenu(self)
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self.socketio = socketio
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# Check model
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if config.binding_name is None:
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self.menu.select_model()
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self.binding = BindingBuilder().build_binding(self.config, self.lollms_paths)
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# Check model
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if config.model_name is None:
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self.menu.select_model()
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self.model = self.binding.build_model()
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self.mounted_personalities = []
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self.mounted_personalities = self.rebuild_personalities()
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if self.config["active_personality_id"]<len(self.mounted_personalities):
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self.personality:AIPersonality = self.mounted_personalities[self.config["active_personality_id"]]
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else:
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self.personality:AIPersonality = None
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if config["debug"]:
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print(print(f"{self.personality}"))
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self.config_file_path = config_file_path
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self.cancel_gen = False
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# Keeping track of current discussion and message
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self.current_discussion = None
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self._current_user_message_id = 0
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self._current_ai_message_id = 0
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self._message_id = 0
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self.db_path = config["db_path"]
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if Path(self.db_path).is_absolute():
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# Create database object
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self.db = DiscussionsDB(self.db_path)
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else:
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# Create database object
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self.db = DiscussionsDB(self.lollms_paths.personal_path/"databases"/self.db_path)
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# If the database is empty, populate it with tables
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ASCIIColors.info("Checking discussions database... ",end="")
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self.db.create_tables()
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self.db.add_missing_columns()
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ASCIIColors.success("ok")
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# This is used to keep track of messages
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self.full_message_list = []
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self.current_room_id = None
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self.download_infos={}
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# =========================================================================================
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# Socket IO stuff
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# =========================================================================================
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@socketio.on('connect')
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def connect():
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ASCIIColors.success(f'Client {request.sid} connected')
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@socketio.on('disconnect')
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def disconnect():
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ASCIIColors.error(f'Client {request.sid} disconnected')
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@socketio.on('cancel_generation')
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def cancel_generation():
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self.cancel_gen = True
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ASCIIColors.error(f'Client {request.sid} canceled generation')
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@socketio.on('cancel_install')
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def cancel_install(data):
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model_name = data["model_name"]
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binding_folder = data["binding_folder"]
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model_url = data["model_url"]
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signature = f"{model_name}_{binding_folder}_{model_url}"
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self.download_infos[signature]["cancel"]=True
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@socketio.on('install_model')
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def install_model(data):
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room_id = request.sid
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def get_file_size(url):
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# Send a HEAD request to retrieve file metadata
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response = urllib.request.urlopen(url)
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# Extract the Content-Length header value
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file_size = response.headers.get('Content-Length')
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# Convert the file size to integer
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if file_size:
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file_size = int(file_size)
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return file_size
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def install_model_():
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print("Install model triggered")
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model_path = data["path"]
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progress = 0
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installation_dir = self.lollms_paths.personal_models_path/self.config["binding_name"]
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filename = Path(model_path).name
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installation_path = installation_dir / filename
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print("Model install requested")
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print(f"Model path : {model_path}")
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model_name = filename
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binding_folder = self.config["binding_name"]
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model_url = model_path
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signature = f"{model_name}_{binding_folder}_{model_url}"
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self.download_infos[signature]={
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"start_time":datetime.now(),
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"total_size":get_file_size(model_path),
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"downloaded_size":0,
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"progress":0,
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"speed":0,
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"cancel":False
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}
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if installation_path.exists():
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print("Error: Model already exists")
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socketio.emit('install_progress',{
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'status': False,
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'error': 'model already exists',
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'model_name' : model_name,
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'binding_folder' : binding_folder,
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'model_url' : model_url,
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'start_time': self.download_infos[signature]['start_time'].strftime("%Y-%m-%d %H:%M:%S"),
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'total_size': self.download_infos[signature]['total_size'],
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'downloaded_size': self.download_infos[signature]['downloaded_size'],
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'progress': self.download_infos[signature]['progress'],
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'speed': self.download_infos[signature]['speed'],
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}, room=room_id
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)
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socketio.emit('install_progress',{
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'status': True,
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'progress': progress,
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'model_name' : model_name,
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'binding_folder' : binding_folder,
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'model_url' : model_url,
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'start_time': self.download_infos[signature]['start_time'].strftime("%Y-%m-%d %H:%M:%S"),
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'total_size': self.download_infos[signature]['total_size'],
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'downloaded_size': self.download_infos[signature]['downloaded_size'],
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'progress': self.download_infos[signature]['progress'],
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'speed': self.download_infos[signature]['speed'],
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}, room=room_id)
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def callback(downloaded_size, total_size):
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progress = (downloaded_size / total_size) * 100
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now = datetime.now()
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dt = (now - self.download_infos[signature]['start_time']).total_seconds()
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speed = downloaded_size/dt
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self.download_infos[signature]['downloaded_size'] = downloaded_size
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self.download_infos[signature]['speed'] = speed
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if progress - self.download_infos[signature]['progress']>2:
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self.download_infos[signature]['progress'] = progress
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socketio.emit('install_progress',{
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'status': True,
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'model_name' : model_name,
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'binding_folder' : binding_folder,
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'model_url' : model_url,
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'start_time': self.download_infos[signature]['start_time'].strftime("%Y-%m-%d %H:%M:%S"),
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'total_size': self.download_infos[signature]['total_size'],
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'downloaded_size': self.download_infos[signature]['downloaded_size'],
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'progress': self.download_infos[signature]['progress'],
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'speed': self.download_infos[signature]['speed'],
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}, room=room_id)
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if self.download_infos[signature]["cancel"]:
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raise Exception("canceled")
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if hasattr(self.binding, "download_model"):
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try:
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self.binding.download_model(model_path, installation_path, callback)
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except Exception as ex:
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ASCIIColors.warning(str(ex))
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socketio.emit('install_progress',{
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'status': False,
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'error': 'canceled',
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'model_name' : model_name,
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'binding_folder' : binding_folder,
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'model_url' : model_url,
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'start_time': self.download_infos[signature]['start_time'].strftime("%Y-%m-%d %H:%M:%S"),
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'total_size': self.download_infos[signature]['total_size'],
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'downloaded_size': self.download_infos[signature]['downloaded_size'],
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'progress': self.download_infos[signature]['progress'],
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'speed': self.download_infos[signature]['speed'],
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}, room=room_id
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)
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del self.download_infos[signature]
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installation_path.unlink()
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return
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else:
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try:
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self.download_file(model_path, installation_path, callback)
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except Exception as ex:
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ASCIIColors.warning(str(ex))
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socketio.emit('install_progress',{
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'status': False,
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'error': 'canceled',
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'model_name' : model_name,
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'binding_folder' : binding_folder,
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'model_url' : model_url,
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'start_time': self.download_infos[signature]['start_time'].strftime("%Y-%m-%d %H:%M:%S"),
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'total_size': self.download_infos[signature]['total_size'],
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'downloaded_size': self.download_infos[signature]['downloaded_size'],
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'progress': self.download_infos[signature]['progress'],
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'speed': self.download_infos[signature]['speed'],
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}, room=room_id
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)
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del self.download_infos[signature]
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installation_path.unlink()
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return
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socketio.emit('install_progress',{
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'status': True,
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'error': '',
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'model_name' : model_name,
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'binding_folder' : binding_folder,
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'model_url' : model_url,
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'start_time': self.download_infos[signature]['start_time'].strftime("%Y-%m-%d %H:%M:%S"),
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'total_size': self.download_infos[signature]['total_size'],
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'downloaded_size': self.download_infos[signature]['downloaded_size'],
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'progress': 100,
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'speed': self.download_infos[signature]['speed'],
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}, room=room_id)
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del self.download_infos[signature]
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tpe = threading.Thread(target=install_model_, args=())
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tpe.start()
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@socketio.on('uninstall_model')
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def uninstall_model(data):
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model_path = data['path']
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installation_dir = self.lollms_paths.personal_models_path/self.config["binding_name"]
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filename = Path(model_path).name
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installation_path = installation_dir / filename
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model_name = filename
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binding_folder = self.config["binding_name"]
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if not installation_path.exists():
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socketio.emit('install_progress',{
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'status': False,
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'error': 'The model does not exist',
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'model_name' : model_name,
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'binding_folder' : binding_folder
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}, room=request.sid)
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installation_path.unlink()
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socketio.emit('install_progress',{
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'status': True,
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'error': '',
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'model_name' : model_name,
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'binding_folder' : binding_folder
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}, room=request.sid)
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@socketio.on('upload_file')
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def upload_file(data):
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file = data['file']
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filename = file.filename
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save_path = self.lollms_paths.personal_uploads_path/filename # Specify the desired folder path
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try:
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if not self.personality.processor is None:
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self.personality.processor.add_file(save_path)
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file.save(save_path)
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# File saved successfully
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socketio.emit('progress', {'status':True, 'progress': 100})
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else:
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# Personality doesn't support file sending
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socketio.emit('progress', {'status':False, 'error': "Personality doesn't support file sending"})
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except Exception as e:
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# Error occurred while saving the file
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socketio.emit('progress', {'status':False, 'error': str(e)})
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@socketio.on('generate_msg')
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def generate_msg(data):
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self.current_room_id = request.sid
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if self.is_ready:
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if self.current_discussion is None:
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if self.db.does_last_discussion_have_messages():
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self.current_discussion = self.db.create_discussion()
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else:
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self.current_discussion = self.db.load_last_discussion()
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message = data["prompt"]
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message_id = self.current_discussion.add_message(
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"user",
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message,
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parent=self.message_id
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)
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self.current_user_message_id = message_id
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ASCIIColors.green("Starting message generation by"+self.personality.name)
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task = self.socketio.start_background_task(self.start_message_generation, message, message_id)
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ASCIIColors.info("Started generation task")
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#tpe = threading.Thread(target=self.start_message_generation, args=(message, message_id))
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#tpe.start()
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else:
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self.socketio.emit("buzzy", {"message":"I am buzzy. Come back later."}, room=self.current_room_id)
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self.socketio.sleep(0)
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ASCIIColors.warning(f"OOps request {self.current_room_id} refused!! Server buzy")
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self.socketio.emit('infos',
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{
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"status":'model_not_ready',
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"type": "input_message_infos",
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'logo': "",
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"bot": self.personality.name,
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"user": self.personality.user_name,
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"message":"",
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"user_message_id": self.current_user_message_id,
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"ai_message_id": self.current_ai_message_id,
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'binding': self.current_discussion.current_message_binding,
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'model': self.current_discussion.current_message_model,
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'personality': self.current_discussion.current_message_personality,
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'created_at': self.current_discussion.current_message_created_at,
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'finished_generating_at': self.current_discussion.current_message_finished_generating_at,
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}, room=self.current_room_id
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)
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self.socketio.sleep(0)
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@socketio.on('generate_msg_from')
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def handle_connection(data):
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message_id = int(data['id'])
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message = data["prompt"]
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self.current_user_message_id = message_id
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tpe = threading.Thread(target=self.start_message_generation, args=(message, message_id))
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tpe.start()
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# generation status
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self.generating=False
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ASCIIColors.blue(f"Your personal data is stored here :{self.lollms_paths.personal_path}")
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ASCIIColors.blue(f"Listening on :http://{self.config['host']}:{self.config['port']}")
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def rebuild_personalities(self):
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loaded = self.mounted_personalities
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loaded_names = [f"{p.language}/{p.category}/{p.personality_folder_name}" for p in loaded]
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mounted_personalities=[]
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ASCIIColors.success(f" ╔══════════════════════════════════════════════════╗ ")
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ASCIIColors.success(f" ║ Building mounted Personalities ║ ")
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ASCIIColors.success(f" ╚══════════════════════════════════════════════════╝ ")
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to_remove=[]
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for i,personality in enumerate(self.config['personalities']):
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if personality in loaded_names:
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mounted_personalities.append(loaded[loaded_names.index(personality)])
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else:
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personality_path = self.lollms_paths.personalities_zoo_path/f"{personality}"
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try:
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if i==self.config["active_personality_id"]:
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ASCIIColors.red("*", end="")
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ASCIIColors.green(f" {personality}")
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else:
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ASCIIColors.yellow(f" {personality}")
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personality = AIPersonality(personality_path,
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self.lollms_paths,
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self.config,
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model=self.model,
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run_scripts=True)
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mounted_personalities.append(personality)
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except Exception as ex:
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ASCIIColors.error(f"Personality file not found or is corrupted ({personality_path}).\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.")
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ASCIIColors.info("Trying to force reinstall")
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if self.config["debug"]:
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print(ex)
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try:
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personality = AIPersonality(
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personality_path,
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self.lollms_paths,
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self.config,
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self.model,
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run_scripts=True,
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installation_option=InstallOption.FORCE_INSTALL)
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mounted_personalities.append(personality)
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except:
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ASCIIColors.error(f"Couldn't load personality at {personality_path}")
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ASCIIColors.info(f"Unmounting personality")
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to_remove.append(i)
|
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personality = AIPersonality(None, self.lollms_paths,
|
|
self.config,
|
|
self.model,
|
|
run_scripts=True,
|
|
installation_option=InstallOption.FORCE_INSTALL)
|
|
mounted_personalities.append(personality)
|
|
ASCIIColors.info("Reverted to default personality")
|
|
print(f'selected : {self.config["active_personality_id"]}')
|
|
ASCIIColors.success(f" ╔══════════════════════════════════════════════════╗ ")
|
|
ASCIIColors.success(f" ║ Done ║ ")
|
|
ASCIIColors.success(f" ╚══════════════════════════════════════════════════╝ ")
|
|
# Sort the indices in descending order to ensure correct removal
|
|
to_remove.sort(reverse=True)
|
|
|
|
# Remove elements from the list based on the indices
|
|
for index in to_remove:
|
|
if 0 <= index < len(mounted_personalities):
|
|
mounted_personalities.pop(index)
|
|
self.config["personalities"].pop(index)
|
|
ASCIIColors.info(f"removed personality {personality_path}")
|
|
|
|
if self.config["active_personality_id"]>=len(self.config["personalities"]):
|
|
self.config["active_personality_id"]=0
|
|
|
|
return mounted_personalities
|
|
# ================================== LOLLMSApp
|
|
|
|
def load_binding(self):
|
|
if self.config.binding_name is None:
|
|
print(f"No bounding selected")
|
|
print("Please select a valid model or install a new one from a url")
|
|
self.menu.select_binding()
|
|
# cfg.download_model(url)
|
|
else:
|
|
try:
|
|
self.binding = BindingBuilder().build_binding(self.config, self.lollms_paths)
|
|
except Exception as ex:
|
|
print(ex)
|
|
print(f"Couldn't find binding. Please verify your configuration file at {self.config.file_path} or use the next menu to select a valid binding")
|
|
print(f"Trying to reinstall binding")
|
|
self.binding = BindingBuilder().build_binding(self.config, self.lollms_paths, InstallOption.FORCE_INSTALL)
|
|
self.menu.select_binding()
|
|
|
|
def load_model(self):
|
|
try:
|
|
self.active_model = ModelBuilder(self.binding).get_model()
|
|
ASCIIColors.success("Model loaded successfully")
|
|
except Exception as ex:
|
|
ASCIIColors.error(f"Couldn't load model.")
|
|
ASCIIColors.error(f"Binding returned this exception : {ex}")
|
|
ASCIIColors.error(f"{self.config.get_model_path_infos()}")
|
|
print("Please select a valid model or install a new one from a url")
|
|
self.menu.select_model()
|
|
|
|
def load_personality(self):
|
|
try:
|
|
self.personality = PersonalityBuilder(self.lollms_paths, self.config, self.model).build_personality()
|
|
except Exception as ex:
|
|
ASCIIColors.error(f"Couldn't load personality.")
|
|
ASCIIColors.error(f"Binding returned this exception : {ex}")
|
|
ASCIIColors.error(f"{self.config.get_personality_path_infos()}")
|
|
print("Please select a valid model or install a new one from a url")
|
|
self.menu.select_model()
|
|
self.cond_tk = self.personality.model.tokenize(self.personality.personality_conditioning)
|
|
self.n_cond_tk = len(self.cond_tk)
|
|
|
|
|
|
#properties
|
|
@property
|
|
def message_id(self):
|
|
return self._message_id
|
|
|
|
@property
|
|
def current_user_message_id(self):
|
|
return self._current_user_message_id
|
|
@current_user_message_id.setter
|
|
def current_user_message_id(self, id):
|
|
self._current_user_message_id=id
|
|
self._message_id = id
|
|
@property
|
|
def current_ai_message_id(self):
|
|
return self._current_ai_message_id
|
|
@current_ai_message_id.setter
|
|
def current_ai_message_id(self, id):
|
|
self._current_ai_message_id=id
|
|
self._message_id = id
|
|
|
|
def download_file(self, url, installation_path, callback=None):
|
|
"""
|
|
Downloads a file from a URL, reports the download progress using a callback function, and displays a progress bar.
|
|
|
|
Args:
|
|
url (str): The URL of the file to download.
|
|
installation_path (str): The path where the file should be saved.
|
|
callback (function, optional): A callback function to be called during the download
|
|
with the progress percentage as an argument. Defaults to None.
|
|
"""
|
|
try:
|
|
response = requests.get(url, stream=True)
|
|
|
|
# Get the file size from the response headers
|
|
total_size = int(response.headers.get('content-length', 0))
|
|
|
|
with open(installation_path, 'wb') as file:
|
|
downloaded_size = 0
|
|
with tqdm(total=total_size, unit='B', unit_scale=True, ncols=80) as progress_bar:
|
|
for chunk in response.iter_content(chunk_size=8192):
|
|
if chunk:
|
|
file.write(chunk)
|
|
downloaded_size += len(chunk)
|
|
if callback is not None:
|
|
callback(downloaded_size, total_size)
|
|
progress_bar.update(len(chunk))
|
|
|
|
if callback is not None:
|
|
callback(total_size, total_size)
|
|
|
|
print("File downloaded successfully")
|
|
except Exception as e:
|
|
print("Couldn't download file:", str(e))
|
|
|
|
|
|
|
|
def condition_chatbot(self):
|
|
if self.current_discussion is None:
|
|
self.current_discussion = self.db.load_last_discussion()
|
|
|
|
if self.personality.welcome_message!="":
|
|
message_id = self.current_discussion.add_message(
|
|
self.personality.name, self.personality.welcome_message,
|
|
DiscussionsDB.MSG_TYPE_NORMAL,
|
|
0,
|
|
-1,
|
|
binding= self.config["binding_name"],
|
|
model = self.config["model_name"],
|
|
personality=self.config["personalities"][self.config["active_personality_id"]]
|
|
)
|
|
|
|
self.current_ai_message_id = message_id
|
|
else:
|
|
message_id = 0
|
|
return message_id
|
|
|
|
def prepare_reception(self):
|
|
self.current_generated_text = ""
|
|
self.full_text = ""
|
|
self.is_bot_text_started = False
|
|
|
|
def create_new_discussion(self, title):
|
|
self.current_discussion = self.db.create_discussion(title)
|
|
# Get the current timestamp
|
|
timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
|
|
|
|
# Chatbot conditionning
|
|
self.condition_chatbot()
|
|
return timestamp
|
|
|
|
def prepare_query(self, message_id=-1):
|
|
messages = self.current_discussion.get_messages()
|
|
self.full_message_list = []
|
|
for message in messages:
|
|
if message["id"]< message_id or message_id==-1:
|
|
if message["type"]==self.db.MSG_TYPE_NORMAL:
|
|
if message["sender"]==self.personality.name:
|
|
self.full_message_list.append(self.personality.ai_message_prefix+message["content"])
|
|
else:
|
|
self.full_message_list.append(self.personality.user_message_prefix + message["content"])
|
|
else:
|
|
break
|
|
|
|
if self.personality.processor is not None:
|
|
preprocessed_prompt = self.personality.processor.process_model_input(message["content"])
|
|
else:
|
|
preprocessed_prompt = message["content"]
|
|
if preprocessed_prompt is not None:
|
|
self.full_message_list.append(self.personality.user_message_prefix+preprocessed_prompt+self.personality.link_text+self.personality.ai_message_prefix)
|
|
else:
|
|
self.full_message_list.append(self.personality.user_message_prefix+message["content"]+self.personality.link_text+self.personality.ai_message_prefix)
|
|
|
|
|
|
link_text = self.personality.link_text
|
|
|
|
discussion_messages = self.personality.personality_conditioning+ link_text.join(self.full_message_list)
|
|
|
|
|
|
return discussion_messages, message["content"]
|
|
|
|
def get_discussion_to(self, message_id=-1):
|
|
messages = self.current_discussion.get_messages()
|
|
self.full_message_list = []
|
|
for message in messages:
|
|
if message["id"]<= message_id or message_id==-1:
|
|
if message["type"]!=self.db.MSG_TYPE_CONDITIONNING:
|
|
if message["sender"]==self.personality.name:
|
|
self.full_message_list.append(self.personality.ai_message_prefix+message["content"])
|
|
else:
|
|
self.full_message_list.append(self.personality.user_message_prefix + message["content"])
|
|
|
|
link_text = self.personality.link_text
|
|
|
|
if len(self.full_message_list) > self.config["nb_messages_to_remember"]:
|
|
discussion_messages = self.personality.personality_conditioning+ link_text.join(self.full_message_list[-self.config["nb_messages_to_remember"]:])
|
|
else:
|
|
discussion_messages = self.personality.personality_conditioning+ link_text.join(self.full_message_list)
|
|
|
|
return discussion_messages # Removes the last return
|
|
|
|
def remove_text_from_string(self, string, text_to_find):
|
|
"""
|
|
Removes everything from the first occurrence of the specified text in the string (case-insensitive).
|
|
|
|
Parameters:
|
|
string (str): The original string.
|
|
text_to_find (str): The text to find in the string.
|
|
|
|
Returns:
|
|
str: The updated string.
|
|
"""
|
|
index = string.lower().find(text_to_find.lower())
|
|
|
|
if index != -1:
|
|
string = string[:index]
|
|
|
|
return string
|
|
|
|
def process_chunk(self, chunk, message_type:MSG_TYPE):
|
|
"""
|
|
0 : a regular message
|
|
1 : a notification message
|
|
2 : A hidden message
|
|
"""
|
|
if message_type == MSG_TYPE.MSG_TYPE_CHUNK:
|
|
self.current_generated_text += chunk
|
|
detected_anti_prompt = False
|
|
anti_prompt_to_remove=""
|
|
for prompt in self.personality.anti_prompts:
|
|
if prompt.lower() in self.current_generated_text.lower():
|
|
detected_anti_prompt=True
|
|
anti_prompt_to_remove = prompt.lower()
|
|
|
|
if not detected_anti_prompt:
|
|
ASCIIColors.green(f"generated:{len(self.current_generated_text)} words", end='\r')
|
|
self.socketio.emit('message', {
|
|
'data': self.current_generated_text,
|
|
'user_message_id':self.current_user_message_id,
|
|
'ai_message_id':self.current_ai_message_id,
|
|
'discussion_id':self.current_discussion.discussion_id,
|
|
'message_type': message_type.value
|
|
}, room=self.current_room_id
|
|
)
|
|
self.socketio.sleep(0)
|
|
self.current_discussion.update_message(self.current_ai_message_id, self.current_generated_text)
|
|
# if stop generation is detected then stop
|
|
if not self.cancel_gen:
|
|
return True
|
|
else:
|
|
self.cancel_gen = False
|
|
ASCIIColors.warning("Generation canceled")
|
|
return False
|
|
else:
|
|
self.current_generated_text = self.remove_text_from_string(self.current_generated_text, anti_prompt_to_remove)
|
|
print("The model is halucinating")
|
|
return False
|
|
|
|
# Stream the generated text to the main process
|
|
elif message_type == MSG_TYPE.MSG_TYPE_FULL:
|
|
self.current_generated_text = chunk
|
|
self.socketio.emit('message', {
|
|
'data': self.current_generated_text,
|
|
'user_message_id':self.current_user_message_id,
|
|
'ai_message_id':self.current_ai_message_id,
|
|
'discussion_id':self.current_discussion.discussion_id,
|
|
'message_type': message_type.value
|
|
}, room=self.current_room_id
|
|
)
|
|
self.socketio.sleep(0)
|
|
return True
|
|
# Stream the generated text to the main process
|
|
else:
|
|
self.socketio.emit('message', {
|
|
'data': self.current_generated_text,
|
|
'user_message_id':self.current_user_message_id,
|
|
'ai_message_id':self.current_ai_message_id,
|
|
'discussion_id':self.current_discussion.discussion_id,
|
|
'message_type': message_type.value
|
|
}, room=self.current_room_id
|
|
)
|
|
self.socketio.sleep(0)
|
|
|
|
return True
|
|
|
|
|
|
def generate(self, full_prompt, prompt, n_predict=50, callback=None):
|
|
if self.personality.processor is not None:
|
|
if self.personality.processor_cfg is not None:
|
|
if "custom_workflow" in self.personality.processor_cfg:
|
|
if self.personality.processor_cfg["custom_workflow"]:
|
|
ASCIIColors.success("Running workflow")
|
|
try:
|
|
output = self.personality.processor.run_workflow( prompt, full_prompt, self.process_chunk)
|
|
self.process_chunk(output, MSG_TYPE.MSG_TYPE_FULL)
|
|
except Exception as ex:
|
|
ASCIIColors.error(f"Workflow run failed.\nError:{ex}")
|
|
self.process_chunk(f"Workflow run failed\nError:{ex}", MSG_TYPE.MSG_TYPE_EXCEPTION)
|
|
print("Finished executing the workflow")
|
|
return
|
|
|
|
self._generate(full_prompt, n_predict, callback)
|
|
print("Finished executing the generation")
|
|
|
|
def _generate(self, prompt, n_predict=50, callback=None):
|
|
self.current_generated_text = ""
|
|
if self.model is not None:
|
|
ASCIIColors.info("warmup")
|
|
if self.config["override_personality_model_parameters"]:
|
|
output = self.model.generate(
|
|
prompt,
|
|
callback=callback,
|
|
n_predict=n_predict,
|
|
temperature=self.config['temperature'],
|
|
top_k=self.config['top_k'],
|
|
top_p=self.config['top_p'],
|
|
repeat_penalty=self.config['repeat_penalty'],
|
|
repeat_last_n = self.config['repeat_last_n'],
|
|
seed=self.config['seed'],
|
|
n_threads=self.config['n_threads']
|
|
)
|
|
else:
|
|
output = self.model.generate(
|
|
prompt,
|
|
callback=callback,
|
|
n_predict=self.personality.model_n_predicts,
|
|
temperature=self.personality.model_temperature,
|
|
top_k=self.personality.model_top_k,
|
|
top_p=self.personality.model_top_p,
|
|
repeat_penalty=self.personality.model_repeat_penalty,
|
|
repeat_last_n = self.personality.model_repeat_last_n,
|
|
#seed=self.config['seed'],
|
|
n_threads=self.config['n_threads']
|
|
)
|
|
else:
|
|
print("No model is installed or selected. Please make sure to install a model and select it inside your configuration before attempting to communicate with the model.")
|
|
print("To do this: Install the model to your models/<binding name> folder.")
|
|
print("Then set your model information in your local configuration file that you can find in configs/local_config.yaml")
|
|
print("You can also use the ui to set your model in the settings page.")
|
|
output = ""
|
|
return output
|
|
|
|
def start_message_generation(self, message, message_id):
|
|
ASCIIColors.info(f"Text generation requested by client: {self.current_room_id}")
|
|
# send the message to the bot
|
|
print(f"Received message : {message}")
|
|
if self.current_discussion:
|
|
# First we need to send the new message ID to the client
|
|
self.current_ai_message_id = self.current_discussion.add_message(
|
|
self.personality.name,
|
|
"",
|
|
parent = self.current_user_message_id,
|
|
binding = self.config["binding_name"],
|
|
model = self.config["model_name"],
|
|
personality = self.config["personalities"][self.config["active_personality_id"]]
|
|
) # first the content is empty, but we'll fill it at the end
|
|
self.socketio.emit('infos',
|
|
{
|
|
"status":'generation_started',
|
|
"type": "input_message_infos",
|
|
"bot": self.personality.name,
|
|
"user": self.personality.user_name,
|
|
"message":message,#markdown.markdown(message),
|
|
"user_message_id": self.current_user_message_id,
|
|
"ai_message_id": self.current_ai_message_id,
|
|
|
|
'binding': self.current_discussion.current_message_binding,
|
|
'model': self.current_discussion.current_message_model,
|
|
'personality': self.current_discussion.current_message_personality,
|
|
'created_at': self.current_discussion.current_message_created_at,
|
|
'finished_generating_at': self.current_discussion.current_message_finished_generating_at,
|
|
}, room=self.current_room_id
|
|
)
|
|
self.socketio.sleep(0)
|
|
|
|
# prepare query and reception
|
|
self.discussion_messages, self.current_message = self.prepare_query(message_id)
|
|
self.prepare_reception()
|
|
self.generating = True
|
|
self.generate(self.discussion_messages, self.current_message, n_predict = self.config['n_predict'], callback=self.process_chunk)
|
|
print()
|
|
print("## Done Generation ##")
|
|
print()
|
|
|
|
self.current_discussion.update_message(self.current_ai_message_id, self.current_generated_text)
|
|
self.full_message_list.append(self.current_generated_text)
|
|
self.cancel_gen = False
|
|
|
|
# Send final message
|
|
self.socketio.emit('final', {
|
|
'data': self.current_generated_text,
|
|
'ai_message_id':self.current_ai_message_id,
|
|
'parent':self.current_user_message_id, 'discussion_id':self.current_discussion.discussion_id,
|
|
"status":'model_not_ready',
|
|
"type": "input_message_infos",
|
|
'logo': "",
|
|
"bot": self.personality.name,
|
|
"user": self.personality.user_name,
|
|
"message":self.current_generated_text,
|
|
"user_message_id": self.current_user_message_id,
|
|
"ai_message_id": self.current_ai_message_id,
|
|
|
|
'binding': self.current_discussion.current_message_binding,
|
|
'model': self.current_discussion.current_message_model,
|
|
'personality': self.current_discussion.current_message_personality,
|
|
'created_at': self.current_discussion.current_message_created_at,
|
|
'finished_generating_at': self.current_discussion.current_message_finished_generating_at,
|
|
|
|
}, room=self.current_room_id
|
|
)
|
|
self.socketio.sleep(0)
|
|
|
|
print()
|
|
print("## Done ##")
|
|
print()
|
|
else:
|
|
#No discussion available
|
|
print("No discussion selected!!!")
|
|
print("## Done ##")
|
|
print()
|
|
self.cancel_gen = False
|
|
return ""
|
|
|