mirror of
https://github.com/ParisNeo/lollms-webui.git
synced 2024-12-24 22:46:38 +00:00
1989 lines
86 KiB
Python
1989 lines
86 KiB
Python
"""
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File: lollms_web_ui.py
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Author: ParisNeo
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Description: Singleton class for the LoLLMS web UI.
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This class provides a singleton instance of the LoLLMS web UI, allowing access to its functionality and data across multiple endpoints.
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"""
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import asyncio
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import ctypes
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import gc
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import json
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import os
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import re
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import shutil
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import string
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import sys
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import threading
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import time
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import traceback
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from datetime import datetime
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from functools import partial
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from pathlib import Path
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from typing import Any, Callable, List, Tuple
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import git
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import numpy as np
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import requests
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from lollms.app import LollmsApplication
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from lollms.binding import (BindingBuilder, BindingType, LLMBinding,
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LOLLMSConfig, ModelBuilder)
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from lollms.client_session import Client
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from lollms.com import LoLLMsCom, NotificationDisplayType, NotificationType
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from lollms.config import InstallOption
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from lollms.databases.discussions_database import Discussion, DiscussionsDB
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from lollms.generation import (RECEPTION_MANAGER, ROLE_CHANGE_DECISION,
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ROLE_CHANGE_OURTPUT)
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from lollms.helpers import ASCIIColors, trace_exception
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from lollms.paths import LollmsPaths
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from lollms.personality import AIPersonality, PersonalityBuilder
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from lollms.server.elf_server import LOLLMSElfServer
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from lollms.types import (CONTENT_OPERATION_TYPES, MSG_OPERATION_TYPE,
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MSG_TYPE, SENDER_TYPES)
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from lollms.utilities import (File64BitsManager, PackageManager,
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PromptReshaper, convert_language_name,
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find_first_available_file_index,
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is_asyncio_loop_running, process_ai_output,
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run_async, yes_or_no_input)
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from tqdm import tqdm
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if not PackageManager.check_package_installed("requests"):
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PackageManager.install_package("requests")
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if not PackageManager.check_package_installed("bs4"):
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PackageManager.install_package("beautifulsoup4")
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import requests
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def terminate_thread(thread):
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if thread:
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if not thread.is_alive():
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ASCIIColors.yellow("Thread not alive")
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return
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thread_id = thread.ident
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exc = ctypes.py_object(SystemExit)
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res = ctypes.pythonapi.PyThreadState_SetAsyncExc(thread_id, exc)
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if res > 1:
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ctypes.pythonapi.PyThreadState_SetAsyncExc(thread_id, None)
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del thread
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gc.collect()
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raise SystemError("Failed to terminate the thread.")
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else:
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ASCIIColors.yellow(
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"Canceled successfully"
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) # The current version of the webui
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lollms_webui_version = "v16 alpha (codename Nexus 🌀)"
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class LOLLMSWebUI(LOLLMSElfServer):
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__instance = None
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@staticmethod
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def build_instance(
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config: LOLLMSConfig,
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lollms_paths: LollmsPaths,
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load_binding=True,
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load_model=True,
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load_voice_service=True,
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load_sd_service=True,
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try_select_binding=False,
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try_select_model=False,
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callback=None,
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args=None,
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sio=None,
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):
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if LOLLMSWebUI.__instance is None:
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LOLLMSWebUI(
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config,
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lollms_paths,
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load_binding=load_binding,
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load_model=load_model,
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load_sd_service=load_sd_service,
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load_voice_service=load_voice_service,
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try_select_binding=try_select_binding,
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try_select_model=try_select_model,
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callback=callback,
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args=args,
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sio=sio,
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)
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return LOLLMSWebUI.__instance
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def __init__(
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self,
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config: LOLLMSConfig,
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lollms_paths: LollmsPaths,
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load_binding=True,
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load_model=True,
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load_voice_service=True,
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load_sd_service=True,
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try_select_binding=False,
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try_select_model=False,
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callback=None,
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args=None,
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sio=None,
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) -> None:
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super().__init__(
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config,
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lollms_paths,
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load_binding=load_binding,
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load_model=load_model,
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try_select_binding=try_select_binding,
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try_select_model=try_select_model,
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callback=callback,
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sio=sio,
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)
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self.app_name: str = "LOLLMSWebUI"
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self.version: str = lollms_webui_version
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self.args = args
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self.busy = False
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self.nb_received_tokens = 0
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self.config_file_path = config.file_path
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self.cancel_gen = False
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if self.config.auto_update:
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if self.check_update_():
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ASCIIColors.info("New version found. Updating!")
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self.run_update_script()
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# Keeping track of current discussion and message
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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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# migrate old databases to new ones:
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databases_path = self.lollms_paths.personal_path / "databases"
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if (
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databases_path.exists()
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and len([f for f in databases_path.iterdir() if f.suffix == ".db"]) > 0
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):
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if yes_or_no_input(
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"Old databases have been spotted on your system. Do you want me to migrate them to the new format?"
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):
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databases_found = False
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for database_path in databases_path.iterdir():
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if database_path.suffix == ".db":
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ASCIIColors.red(
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f"Found old discussion database format : {database_path}"
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)
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ASCIIColors.red(f"Migrating to new format... ", end="")
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new_db_path = (
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self.lollms_paths.personal_discussions_path
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/ database_path.stem
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)
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new_db_path.mkdir(exist_ok=True, parents=True)
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try:
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shutil.copy(database_path, new_db_path / "database.db")
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ASCIIColors.green("ok")
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databases_found = True
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except Exception as ex:
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ASCIIColors.warning(ex)
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if databases_found:
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ASCIIColors.green(
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f"Databases are migrated from {databases_path} to the new {self.lollms_paths.personal_discussions_path} path"
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)
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if yes_or_no_input(
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"Databases are migrated to the new format. Do you want me to delete the previous version?"
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):
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for database_path in databases_path.iterdir():
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if database_path.suffix == ".db":
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ASCIIColors.red(f"Deleting {database_path}")
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database_path.unlink()
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if config["discussion_db_name"].endswith(".db"):
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config["discussion_db_name"] = config["discussion_db_name"].replace(
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".db", ""
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)
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config.save_config()
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self.discussion_db_name = config["discussion_db_name"]
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# Create database object
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self.db = DiscussionsDB(self, self.lollms_paths, self.discussion_db_name)
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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.download_infos = {}
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# Define a WebSocket event handler
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@sio.event
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async def connect(sid, environ):
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self.session.add_client(sid, sid, self.db.load_last_discussion(), self.db)
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await self.sio.emit("connected", to=sid)
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ASCIIColors.success(f"Client {sid} connected")
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@sio.event
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def disconnect(sid):
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try:
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self.session.add_client(
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sid, sid, self.db.load_last_discussion(), self.db
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)
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if self.session.get_client(sid).processing:
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self.session.get_client(sid).schedule_for_deletion = True
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else:
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# Clients are now kept forever
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pass # self.session.remove_client(sid, sid)
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except Exception as ex:
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pass
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ASCIIColors.error(f"Client {sid} disconnected")
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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 :", end="")
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ASCIIColors.green(f"{self.lollms_paths.personal_path}")
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self.start_servers()
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def get_uploads_path(self, client_id):
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return self.session.get_client(
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client_id
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).discussion_path # self.db.discussion_db_path/f'{["discussion"].discussion_id}'
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# Other methods and properties of the LoLLMSWebUI singleton class
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def check_module_update_(self, repo_path, branch_name="main"):
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try:
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# Open the repository
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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(
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refspec=f"refs/heads/{branch_name}:refs/remotes/origin/{branch_name}"
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)
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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 = (
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repo.is_ancestor(local_commit, remote_commit)
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and local_commit != remote_commit
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)
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ASCIIColors.yellow(f"update availability: {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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def check_update_(self, 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 / "lollms_core")
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if self.check_module_update_(repo_path, branch_name):
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return True
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repo_path = str(Path(__file__).parent)
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if self.check_module_update_(repo_path, branch_name):
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return True
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return False
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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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def run_update_script(self, args=None):
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# deactivate trust store for github and pip package install
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if "REQUESTS_CA_BUNDLE" in os.environ:
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del os.environ["REQUESTS_CA_BUNDLE"]
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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 = {
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key: value for key, value in args_dict.items() if value is not None
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}
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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(
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[f"--{key} {value}" for key, value in valid_args.items()]
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)
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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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def run_restart_script(self, 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 = {
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key: value for key, value in args_dict.items() if value is not None
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}
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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(
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[f"--{key} {value}" for key, value in valid_args.items()]
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)
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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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def audio_callback(self, text):
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if self.summoned:
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client_id = 0
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self.cancel_gen = False
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client = self.session.get_client(client_id)
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client.generated_text = ""
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client.cancel_generation = False
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client.continuing = False
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client.first_chunk = True
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if not self.model:
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ASCIIColors.error("Model not selected. Please select a model")
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self.error(
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"Model not selected. Please select a model", client_id=client_id
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)
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return
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if not self.busy:
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if client.discussion is None:
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if self.db.does_last_discussion_have_messages():
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client.discussion = self.db.create_discussion()
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else:
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client.discussion = self.db.load_last_discussion()
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prompt = text
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try:
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nb_tokens = len(self.model.tokenize(prompt))
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except:
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nb_tokens = None
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message = client.discussion.add_message(
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message_type=MSG_TYPE.MSG_TYPE_CONTENT.value,
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sender_type=SENDER_TYPES.SENDER_TYPES_USER.value,
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sender=(
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self.config.user_name.strip()
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if self.config.use_user_name_in_discussions
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else self.config.user_name
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),
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content=prompt,
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metadata=None,
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parent_message_id=self.message_id,
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nb_tokens=nb_tokens,
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)
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ASCIIColors.green(
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"Starting message generation by " + self.personality.name
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)
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client.generation_thread = threading.Thread(
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target=self.start_message_generation,
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args=(message, message.id, client_id),
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)
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client.generation_thread.start()
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self.sio.sleep(0.01)
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ASCIIColors.info("Started generation task")
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self.busy = True
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# tpe = threading.Thread(target=self.start_message_generation, args=(message, message_id, client_id))
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# tpe.start()
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else:
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self.error("I am busy. Come back later.", client_id=client_id)
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else:
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if "lollms" in text.lower():
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self.summoned = True
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# def scrape_and_save(self, url, file_path):
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# # Send a GET request to the URL
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# response = requests.get(url)
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# # Parse the HTML content using BeautifulSoup
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# soup = BeautifulSoup(response.content, 'html.parser')
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# # Find all the text content in the webpage
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# text_content = soup.get_text()
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# # Remove extra returns and spaces
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# text_content = ' '.join(text_content.split())
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# # Save the text content as a text file
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# with open(file_path, 'w', encoding="utf-8") as file:
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# file.write(text_content)
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# self.info(f"Webpage content saved to {file_path}")
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def rebuild_personalities(self, reload_all=False):
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if reload_all:
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self.mounted_personalities = []
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loaded = self.mounted_personalities
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loaded_names = [
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f"{p.category}/{p.personality_folder_name}" for p in loaded if p is not None
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]
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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 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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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 = f"{personality}"
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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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model=self.model,
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app=self,
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selected_language=self.config.current_language,
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run_scripts=True,
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)
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mounted_personalities.append(personality)
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if self.config.auto_read and len(personality.audio_samples) > 0:
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try:
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from lollms.services.tts.xtts.lollms_xtts import \
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LollmsXTTS
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if self.tts is None:
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voice = self.config.xtts_current_voice
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if voice != "main_voice":
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voices_folder = self.lollms_paths.custom_voices_path
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else:
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voices_folder = (
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Path(__file__).parent.parent.parent
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/ "services/xtts/voices"
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)
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self.tts = LollmsXTTS(
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self,
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voices_folders=[
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voices_folder,
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Path(__file__).parent.parent.parent
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/ "services/xtts/voices",
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],
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freq=self.config.xtts_freq,
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)
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except Exception as ex:
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trace_exception(ex)
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self.warning(
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f"Personality {personality.name} request using custom voice but couldn't load XTTS"
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)
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except Exception as ex:
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ASCIIColors.error(
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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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)
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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,
|
|
app=self,
|
|
run_scripts=True,
|
|
selected_language=self.config.current_language,
|
|
installation_option=InstallOption.FORCE_INSTALL,
|
|
)
|
|
mounted_personalities.append(personality)
|
|
if personality.processor:
|
|
personality.processor.mounted()
|
|
except Exception as ex:
|
|
ASCIIColors.error(
|
|
f"Couldn't load personality at {personality_path}"
|
|
)
|
|
trace_exception(ex)
|
|
ASCIIColors.info(f"Unmounting personality")
|
|
to_remove.append(i)
|
|
personality = AIPersonality(
|
|
None,
|
|
self.lollms_paths,
|
|
self.config,
|
|
self.model,
|
|
app=self,
|
|
run_scripts=True,
|
|
installation_option=InstallOption.FORCE_INSTALL,
|
|
)
|
|
mounted_personalities.append(personality)
|
|
if personality.processor:
|
|
personality.processor.mounted()
|
|
|
|
ASCIIColors.info("Reverted to default personality")
|
|
if self.config["active_personality_id"] >= 0 and self.config[
|
|
"active_personality_id"
|
|
] < len(self.config["personalities"]):
|
|
ASCIIColors.success(
|
|
f'selected model : {self.config["personalities"][self.config["active_personality_id"]]}'
|
|
)
|
|
else:
|
|
ASCIIColors.warning(
|
|
"An error was encountered while trying to mount personality"
|
|
)
|
|
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
|
|
|
|
# properties
|
|
@property
|
|
def message_id(self):
|
|
return self._message_id
|
|
|
|
@message_id.setter
|
|
def message_id(self, id):
|
|
self._message_id = 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 clean_string(self, input_string):
|
|
# Remove extra spaces by replacing multiple spaces with a single space
|
|
# cleaned_string = re.sub(r'\s+', ' ', input_string)
|
|
|
|
# Remove extra line breaks by replacing multiple consecutive line breaks with a single line break
|
|
cleaned_string = re.sub(r"\n\s*\n", "\n", input_string)
|
|
# Create a string containing all punctuation characters
|
|
punctuation_chars = string.punctuation
|
|
# Define a regular expression pattern to match and remove non-alphanumeric characters
|
|
# pattern = f'[^a-zA-Z0-9\s{re.escape(punctuation_chars)}]' # This pattern matches any character that is not a letter, digit, space, or punctuation
|
|
pattern = f"[^a-zA-Z0-9\u00C0-\u017F\s{re.escape(punctuation_chars)}]"
|
|
# Use re.sub to replace the matched characters with an empty string
|
|
cleaned_string = re.sub(pattern, "", cleaned_string)
|
|
return cleaned_string
|
|
|
|
def make_discussion_title(self, discussion, client_id=None):
|
|
"""
|
|
Builds a title for a discussion
|
|
"""
|
|
|
|
# Get the list of messages
|
|
messages = discussion.get_messages()
|
|
discussion_messages = f"{self.start_header_id_template}instruction{self.end_header_id_template}Create a short title to this discussion\nYour response should only contain the title without any comments.\n"
|
|
discussion_title = f"\n{self.start_header_id_template}Discussion title{self.end_header_id_template}"
|
|
|
|
available_space = (
|
|
self.config.ctx_size
|
|
- 150
|
|
- len(self.model.tokenize(discussion_messages))
|
|
- len(self.model.tokenize(discussion_title))
|
|
)
|
|
# Initialize a list to store the full messages
|
|
full_message_list = []
|
|
# Accumulate messages until the cumulative number of tokens exceeds available_space
|
|
tokens_accumulated = 0
|
|
# Accumulate messages starting from message_index
|
|
for message in messages:
|
|
# Check if the message content is not empty and visible to the AI
|
|
if message.content != "" and (
|
|
message.message_type
|
|
<= MSG_OPERATION_TYPE.MSG_OPERATION_TYPE_SET_CONTENT_INVISIBLE_TO_USER.value
|
|
and message.message_type
|
|
!= MSG_OPERATION_TYPE.MSG_OPERATION_TYPE_SET_CONTENT_INVISIBLE_TO_AI.value
|
|
):
|
|
|
|
# Tokenize the message content
|
|
message_tokenized = self.model.tokenize(
|
|
"\n"
|
|
+ self.config.discussion_prompt_separator
|
|
+ message.sender
|
|
+ ": "
|
|
+ message.content.strip()
|
|
)
|
|
|
|
# Check if adding the message will exceed the available space
|
|
if tokens_accumulated + len(message_tokenized) > available_space:
|
|
break
|
|
|
|
# Add the tokenized message to the full_message_list
|
|
full_message_list.insert(0, message_tokenized)
|
|
|
|
# Update the cumulative number of tokens
|
|
tokens_accumulated += len(message_tokenized)
|
|
|
|
# Build the final discussion messages by detokenizing the full_message_list
|
|
|
|
for message_tokens in full_message_list:
|
|
discussion_messages += self.model.detokenize(message_tokens)
|
|
discussion_messages += discussion_title
|
|
title = [""]
|
|
|
|
def receive(chunk: str, message_type: MSG_OPERATION_TYPE):
|
|
if chunk:
|
|
title[0] += chunk
|
|
antiprompt = self.personality.detect_antiprompt(title[0])
|
|
if antiprompt:
|
|
ASCIIColors.warning(f"\n{antiprompt} detected. Stopping generation")
|
|
title[0] = self.remove_text_from_string(title[0], antiprompt)
|
|
return False
|
|
else:
|
|
return True
|
|
|
|
self._generate(discussion_messages, 150, client_id, receive)
|
|
ASCIIColors.info(title[0])
|
|
return title[0]
|
|
|
|
def get_discussion_to(self, client_id, message_id=-1):
|
|
messages = self.session.get_client(client_id).discussion.get_messages()
|
|
full_message_list = []
|
|
ump = f"{self.start_header_id_template}{self.config.user_name.strip()if self.config.use_user_name_in_discussions else self.personality.user_message_prefix}{self.end_header_id_template}"
|
|
|
|
for message in messages:
|
|
if message["id"] <= message_id or message_id == -1:
|
|
if (
|
|
message["type"]
|
|
!= MSG_OPERATION_TYPE.MSG_OPERATION_TYPE_SET_CONTENT_INVISIBLE_TO_USER
|
|
):
|
|
if message["sender"] == self.personality.name:
|
|
full_message_list.append(
|
|
self.config.discussion_prompt_separator
|
|
+ self.personality.ai_message_prefix
|
|
+ message["content"]
|
|
)
|
|
else:
|
|
full_message_list.append(ump + message["content"])
|
|
|
|
link_text = "\n" # self.personality.link_text
|
|
|
|
if len(full_message_list) > self.config["nb_messages_to_remember"]:
|
|
discussion_messages = (
|
|
self.config.discussion_prompt_separator
|
|
+ self.personality.personality_conditioning
|
|
+ link_text.join(
|
|
full_message_list[-self.config["nb_messages_to_remember"] :]
|
|
)
|
|
)
|
|
else:
|
|
discussion_messages = (
|
|
self.config.discussion_prompt_separator
|
|
+ self.personality.personality_conditioning
|
|
+ link_text.join(full_message_list)
|
|
)
|
|
|
|
return discussion_messages # Removes the last return
|
|
|
|
def set_message_content(
|
|
self,
|
|
full_text: str,
|
|
callback: (
|
|
Callable[[str | list | None, MSG_OPERATION_TYPE, str, Any | None], bool]
|
|
| None
|
|
) = None,
|
|
client_id=0,
|
|
):
|
|
"""This sends full text to front end
|
|
|
|
Args:
|
|
step_text (dict): The step text
|
|
callback (callable, optional): A callable with this signature (str, MSG_TYPE) to send the text to. Defaults to None.
|
|
"""
|
|
if not callback:
|
|
callback = partial(self.process_data, client_id=client_id)
|
|
|
|
if callback:
|
|
callback(full_text, MSG_OPERATION_TYPE.MSG_OPERATION_TYPE_SET_CONTENT)
|
|
|
|
def emit_socket_io_info(self, name, data, client_id):
|
|
run_async(partial(self.sio.emit, name, data, to=client_id))
|
|
|
|
def notify(
|
|
self,
|
|
content,
|
|
notification_type: NotificationType = NotificationType.NOTIF_SUCCESS,
|
|
duration: int = 4,
|
|
client_id=None,
|
|
display_type: NotificationDisplayType = NotificationDisplayType.TOAST,
|
|
verbose: bool | None = None,
|
|
):
|
|
if verbose is None:
|
|
verbose = self.verbose
|
|
|
|
run_async(
|
|
partial(
|
|
self.sio.emit,
|
|
"notification",
|
|
{
|
|
"content": content,
|
|
"notification_type": notification_type.value,
|
|
"duration": duration,
|
|
"display_type": display_type.value,
|
|
},
|
|
to=client_id,
|
|
)
|
|
)
|
|
if verbose:
|
|
if notification_type == NotificationType.NOTIF_SUCCESS:
|
|
ASCIIColors.success(content)
|
|
elif notification_type == NotificationType.NOTIF_INFO:
|
|
ASCIIColors.info(content)
|
|
elif notification_type == NotificationType.NOTIF_WARNING:
|
|
ASCIIColors.warning(content)
|
|
else:
|
|
ASCIIColors.red(content)
|
|
|
|
def refresh_files(self, client_id=None):
|
|
run_async(partial(self.sio.emit, "refresh_files", to=client_id))
|
|
|
|
def new_message(
|
|
self,
|
|
client_id,
|
|
sender=None,
|
|
content="",
|
|
message_type: MSG_OPERATION_TYPE = MSG_OPERATION_TYPE.MSG_OPERATION_TYPE_SET_CONTENT,
|
|
sender_type: SENDER_TYPES = SENDER_TYPES.SENDER_TYPES_AI,
|
|
open=False,
|
|
):
|
|
client = self.session.get_client(client_id)
|
|
# self.close_message(client_id)
|
|
if sender == None:
|
|
sender = self.personality.name
|
|
msg = client.discussion.add_message(
|
|
message_type=message_type.value,
|
|
sender_type=sender_type.value,
|
|
sender=sender,
|
|
content=content,
|
|
steps=[],
|
|
metadata=None,
|
|
ui=None,
|
|
rank=0,
|
|
parent_message_id=(
|
|
client.discussion.current_message.id
|
|
if client.discussion.current_message is not None
|
|
else 0
|
|
),
|
|
binding=self.config["binding_name"],
|
|
model=self.config["model_name"],
|
|
personality=self.config["personalities"][
|
|
self.config["active_personality_id"]
|
|
],
|
|
created_at=datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
|
|
) # first the content is empty, but we'll fill it at the end
|
|
run_async(
|
|
partial(
|
|
self.sio.emit,
|
|
"new_message",
|
|
{
|
|
"sender": sender,
|
|
"message_type": message_type.value,
|
|
"sender_type": SENDER_TYPES.SENDER_TYPES_AI.value,
|
|
"content": content,
|
|
"metadata": None,
|
|
"ui": None,
|
|
"id": msg.id,
|
|
"parent_message_id": msg.parent_message_id,
|
|
"binding": self.binding.binding_folder_name,
|
|
"model": self.model.model_name,
|
|
"personality": self.personality.name,
|
|
"created_at": client.discussion.current_message.created_at,
|
|
"started_generating_at": client.discussion.current_message.started_generating_at,
|
|
"finished_generating_at": client.discussion.current_message.finished_generating_at,
|
|
"nb_tokens": client.discussion.current_message.nb_tokens,
|
|
"open": open,
|
|
},
|
|
to=client_id,
|
|
)
|
|
)
|
|
|
|
def new_block(
|
|
self,
|
|
client_id,
|
|
sender=None,
|
|
content="",
|
|
parameters=None,
|
|
metadata=None,
|
|
ui=None,
|
|
message_type: MSG_OPERATION_TYPE = MSG_OPERATION_TYPE.MSG_OPERATION_TYPE_SET_CONTENT,
|
|
sender_type: SENDER_TYPES = SENDER_TYPES.SENDER_TYPES_AI,
|
|
open=False,
|
|
):
|
|
# like new_message but without adding the information to the database
|
|
client = self.session.get_client(client_id)
|
|
run_async(
|
|
partial(
|
|
self.sio.emit,
|
|
"new_message",
|
|
{
|
|
"sender": sender,
|
|
"message_type": message_type.value,
|
|
"sender_type": SENDER_TYPES.SENDER_TYPES_AI.value,
|
|
"content": content,
|
|
"parameters": parameters,
|
|
"metadata": metadata,
|
|
"ui": ui,
|
|
"id": 0,
|
|
"parent_message_id": 0,
|
|
"binding": self.binding.binding_folder_name,
|
|
"model": self.model.model_name,
|
|
"personality": self.personality.name,
|
|
"created_at": client.discussion.current_message.created_at,
|
|
"started_generating_at": client.discussion.current_message.started_generating_at,
|
|
"finished_generating_at": client.discussion.current_message.finished_generating_at,
|
|
"nb_tokens": client.discussion.current_message.nb_tokens,
|
|
"open": open,
|
|
},
|
|
to=client_id,
|
|
)
|
|
)
|
|
|
|
def send_refresh(self, client_id):
|
|
client = self.session.get_client(client_id)
|
|
run_async(
|
|
partial(
|
|
self.sio.emit,
|
|
"update_message",
|
|
{
|
|
"sender": client.discussion.current_message.sender,
|
|
"id": client.discussion.current_message.id,
|
|
"content": client.discussion.current_message.content,
|
|
"discussion_id": client.discussion.discussion_id,
|
|
"operation_type": MSG_OPERATION_TYPE.MSG_OPERATION_TYPE_SET_CONTENT.value,
|
|
"message_type": client.discussion.current_message.message_type,
|
|
"created_at": client.discussion.current_message.created_at,
|
|
"started_generating_at": client.discussion.current_message.started_generating_at,
|
|
"finished_generating_at": client.discussion.current_message.finished_generating_at,
|
|
"nb_tokens": client.discussion.current_message.nb_tokens,
|
|
"binding": self.binding.binding_folder_name,
|
|
"model": self.model.model_name,
|
|
"personality": self.personality.name,
|
|
},
|
|
to=client_id,
|
|
)
|
|
)
|
|
|
|
def update_message(
|
|
self,
|
|
client_id,
|
|
chunk,
|
|
parameters=None,
|
|
metadata=[],
|
|
ui=None,
|
|
operation_type: MSG_OPERATION_TYPE = None,
|
|
):
|
|
client = self.session.get_client(client_id)
|
|
client.discussion.current_message.finished_generating_at = (
|
|
datetime.now().strftime("%Y-%m-%d %H:%M:%S")
|
|
)
|
|
client.discussion.current_message.nb_tokens = self.nb_received_tokens
|
|
mtdt = (
|
|
json.dumps(metadata, indent=4)
|
|
if metadata is not None and type(metadata) == list
|
|
else metadata
|
|
)
|
|
|
|
if self.nb_received_tokens == 1:
|
|
client.discussion.current_message.started_generating_at = (
|
|
datetime.now().strftime("%Y-%m-%d %H:%M:%S")
|
|
)
|
|
self.update_message_step(
|
|
client_id,
|
|
"🔥 warming up ...",
|
|
MSG_OPERATION_TYPE.MSG_OPERATION_TYPE_STEP_END_SUCCESS,
|
|
)
|
|
self.update_message_step(
|
|
client_id,
|
|
"✍ generating ...",
|
|
MSG_OPERATION_TYPE.MSG_OPERATION_TYPE_STEP_END_SUCCESS,
|
|
)
|
|
|
|
run_async(
|
|
partial(
|
|
self.sio.emit,
|
|
"update_message",
|
|
{
|
|
"sender": self.personality.name,
|
|
"id": client.discussion.current_message.id,
|
|
"content": chunk,
|
|
"ui": client.discussion.current_message.ui if ui is None else ui,
|
|
"discussion_id": client.discussion.discussion_id,
|
|
"operation_type": (
|
|
operation_type.value
|
|
if operation_type is not None
|
|
else (
|
|
MSG_OPERATION_TYPE.MSG_OPERATION_TYPE_ADD_CHUNK.value
|
|
if self.nb_received_tokens > 1
|
|
else MSG_OPERATION_TYPE.MSG_OPERATION_TYPE_SET_CONTENT.value
|
|
)
|
|
),
|
|
"message_type": MSG_TYPE.MSG_TYPE_CONTENT.value,
|
|
"created_at": client.discussion.current_message.created_at,
|
|
"started_generating_at": client.discussion.current_message.started_generating_at,
|
|
"finished_generating_at": client.discussion.current_message.finished_generating_at,
|
|
"nb_tokens": client.discussion.current_message.nb_tokens,
|
|
"parameters": parameters,
|
|
"metadata": metadata,
|
|
"binding": self.binding.binding_folder_name,
|
|
"model": self.model.model_name,
|
|
"personality": self.personality.name,
|
|
},
|
|
to=client_id,
|
|
)
|
|
)
|
|
if (
|
|
operation_type
|
|
and operation_type.value < MSG_OPERATION_TYPE.MSG_OPERATION_TYPE_INFO.value
|
|
):
|
|
client.discussion.update_message(
|
|
client.generated_text,
|
|
new_metadata=mtdt,
|
|
new_ui=ui,
|
|
started_generating_at=client.discussion.current_message.started_generating_at,
|
|
nb_tokens=client.discussion.current_message.nb_tokens,
|
|
)
|
|
|
|
def update_message_content(
|
|
self,
|
|
client_id,
|
|
chunk,
|
|
operation_type: MSG_OPERATION_TYPE = MSG_OPERATION_TYPE.MSG_OPERATION_TYPE_SET_CONTENT,
|
|
message_type: MSG_TYPE = None,
|
|
):
|
|
client = self.session.get_client(client_id)
|
|
client.discussion.current_message.finished_generating_at = (
|
|
datetime.now().strftime("%Y-%m-%d %H:%M:%S")
|
|
)
|
|
client.discussion.current_message.nb_tokens = self.nb_received_tokens
|
|
|
|
if self.nb_received_tokens == 1:
|
|
client.discussion.current_message.started_generating_at = (
|
|
datetime.now().strftime("%Y-%m-%d %H:%M:%S")
|
|
)
|
|
|
|
run_async(
|
|
partial(
|
|
self.sio.emit,
|
|
"update_message",
|
|
{
|
|
"sender": self.personality.name,
|
|
"id": client.discussion.current_message.id,
|
|
"content": chunk,
|
|
"discussion_id": client.discussion.discussion_id,
|
|
"operation_type": operation_type.value,
|
|
"message_type": (
|
|
client.discussion.current_message.message_type
|
|
if message_type is None
|
|
else message_type
|
|
),
|
|
"created_at": client.discussion.current_message.created_at,
|
|
"started_generating_at": client.discussion.current_message.started_generating_at,
|
|
"finished_generating_at": client.discussion.current_message.finished_generating_at,
|
|
"nb_tokens": client.discussion.current_message.nb_tokens,
|
|
"binding": self.binding.binding_folder_name,
|
|
"model": self.model.model_name,
|
|
"personality": self.personality.name,
|
|
},
|
|
to=client_id,
|
|
)
|
|
)
|
|
|
|
client.discussion.update_message_content(
|
|
client.generated_text,
|
|
started_generating_at=client.discussion.current_message.started_generating_at,
|
|
nb_tokens=client.discussion.current_message.nb_tokens,
|
|
)
|
|
|
|
def update_message_step(
|
|
self, client_id, step_text, msg_operation_type: MSG_OPERATION_TYPE = None
|
|
):
|
|
client = self.session.get_client(client_id)
|
|
if msg_operation_type == MSG_OPERATION_TYPE.MSG_OPERATION_TYPE_STEP:
|
|
client.discussion.current_message.add_step(step_text, "instant", True, True)
|
|
elif msg_operation_type == MSG_OPERATION_TYPE.MSG_OPERATION_TYPE_STEP_START:
|
|
client.discussion.current_message.add_step(
|
|
step_text, "start_end", True, False
|
|
)
|
|
elif (
|
|
msg_operation_type == MSG_OPERATION_TYPE.MSG_OPERATION_TYPE_STEP_END_SUCCESS
|
|
):
|
|
client.discussion.current_message.add_step(
|
|
step_text, "start_end", True, True
|
|
)
|
|
elif (
|
|
msg_operation_type == MSG_OPERATION_TYPE.MSG_OPERATION_TYPE_STEP_END_FAILURE
|
|
):
|
|
client.discussion.current_message.add_step(
|
|
step_text, "start_end", False, True
|
|
)
|
|
|
|
run_async(
|
|
partial(
|
|
self.sio.emit,
|
|
"update_message",
|
|
{
|
|
"id": client.discussion.current_message.id,
|
|
"discussion_id": client.discussion.discussion_id,
|
|
"operation_type": msg_operation_type.value,
|
|
"steps": client.discussion.current_message.steps,
|
|
},
|
|
to=client_id,
|
|
)
|
|
)
|
|
|
|
def update_message_metadata(self, client_id, metadata):
|
|
client = self.session.get_client(client_id)
|
|
md = (
|
|
json.dumps(metadata)
|
|
if type(metadata) == dict or type(metadata) == list
|
|
else metadata
|
|
)
|
|
run_async(
|
|
partial(
|
|
self.sio.emit,
|
|
"update_message",
|
|
{
|
|
"sender": self.personality.name,
|
|
"id": client.discussion.current_message.id,
|
|
"metadata": md,
|
|
"discussion_id": client.discussion.discussion_id,
|
|
"operation_type": MSG_OPERATION_TYPE.MSG_OPERATION_TYPE_JSON_INFOS.value,
|
|
},
|
|
to=client_id,
|
|
)
|
|
)
|
|
|
|
client.discussion.update_message_metadata(metadata)
|
|
|
|
def update_message_ui(self, client_id, ui):
|
|
client = self.session.get_client(client_id)
|
|
|
|
run_async(
|
|
partial(
|
|
self.sio.emit,
|
|
"update_message",
|
|
{
|
|
"sender": self.personality.name,
|
|
"id": client.discussion.current_message.id,
|
|
"ui": ui,
|
|
"discussion_id": client.discussion.discussion_id,
|
|
"operation_type": MSG_OPERATION_TYPE.MSG_OPERATION_TYPE_UI.value,
|
|
},
|
|
to=client_id,
|
|
)
|
|
)
|
|
|
|
client.discussion.update_message_ui(ui)
|
|
|
|
def close_message(self, client_id):
|
|
client = self.session.get_client(client_id)
|
|
for msg in client.discussion.messages:
|
|
if msg.steps is not None:
|
|
for step in msg.steps:
|
|
step["done"] = True
|
|
if not client.discussion:
|
|
return
|
|
# fix halucination
|
|
if len(client.generated_text) > 0 and len(self.start_header_id_template) > 0:
|
|
client.generated_text = client.generated_text.split(
|
|
f"{self.start_header_id_template}"
|
|
)[0]
|
|
# Send final message
|
|
client.discussion.current_message.finished_generating_at = (
|
|
datetime.now().strftime("%Y-%m-%d %H:%M:%S")
|
|
)
|
|
try:
|
|
client.discussion.current_message.nb_tokens = len(
|
|
self.model.tokenize(client.generated_text)
|
|
)
|
|
except:
|
|
client.discussion.current_message.nb_tokens = None
|
|
run_async(
|
|
partial(
|
|
self.sio.emit,
|
|
"close_message",
|
|
{
|
|
"sender": self.personality.name,
|
|
"id": client.discussion.current_message.id,
|
|
"content": client.generated_text,
|
|
"binding": self.binding.binding_folder_name,
|
|
"model": self.model.model_name,
|
|
"personality": self.personality.name,
|
|
"created_at": client.discussion.current_message.created_at,
|
|
"started_generating_at": client.discussion.current_message.started_generating_at,
|
|
"finished_generating_at": client.discussion.current_message.finished_generating_at,
|
|
"nb_tokens": client.discussion.current_message.nb_tokens,
|
|
},
|
|
to=client_id,
|
|
)
|
|
)
|
|
|
|
def process_data(
|
|
self,
|
|
data: str | list | None,
|
|
operation_type: MSG_OPERATION_TYPE,
|
|
client_id: str = 0,
|
|
personality: AIPersonality = None,
|
|
):
|
|
"""
|
|
Processes a data of generated text
|
|
"""
|
|
client = self.session.get_client(client_id)
|
|
if data is None and operation_type in [
|
|
MSG_OPERATION_TYPE.MSG_OPERATION_TYPE_SET_CONTENT,
|
|
MSG_OPERATION_TYPE.MSG_OPERATION_TYPE_ADD_CHUNK,
|
|
]:
|
|
return
|
|
|
|
if data is not None:
|
|
if not client_id in list(self.session.clients.keys()):
|
|
self.error("Connection lost", client_id=client_id)
|
|
return
|
|
if operation_type == MSG_OPERATION_TYPE.MSG_OPERATION_TYPE_STEP:
|
|
ASCIIColors.info("--> Step:" + data)
|
|
self.update_message_step(client_id, data, operation_type)
|
|
elif operation_type == MSG_OPERATION_TYPE.MSG_OPERATION_TYPE_STEP_START:
|
|
ASCIIColors.info("--> Step started:" + data)
|
|
self.update_message_step(client_id, data, operation_type)
|
|
elif operation_type == MSG_OPERATION_TYPE.MSG_OPERATION_TYPE_STEP_END_SUCCESS:
|
|
ASCIIColors.success("--> Step ended:" + data)
|
|
self.update_message_step(client_id, data, operation_type)
|
|
elif operation_type == MSG_OPERATION_TYPE.MSG_OPERATION_TYPE_STEP_END_FAILURE:
|
|
ASCIIColors.success("--> Step ended:" + data)
|
|
self.update_message_step(client_id, data, operation_type)
|
|
elif operation_type == MSG_OPERATION_TYPE.MSG_OPERATION_TYPE_WARNING:
|
|
self.warning(data, client_id=client_id)
|
|
ASCIIColors.error("--> Exception from personality:" + data)
|
|
elif operation_type == MSG_OPERATION_TYPE.MSG_OPERATION_TYPE_EXCEPTION:
|
|
self.error(data, client_id=client_id)
|
|
ASCIIColors.error("--> Exception from personality:" + data)
|
|
return
|
|
elif operation_type == MSG_OPERATION_TYPE.MSG_OPERATION_TYPE_INFO:
|
|
self.info(data, client_id=client_id)
|
|
ASCIIColors.info("--> Info:" + data)
|
|
return
|
|
elif operation_type == MSG_OPERATION_TYPE.MSG_OPERATION_TYPE_UI:
|
|
self.update_message_ui(client_id, data)
|
|
return
|
|
elif operation_type == MSG_OPERATION_TYPE.MSG_OPERATION_TYPE_JSON_INFOS:
|
|
self.update_message_metadata(client_id, data)
|
|
return
|
|
elif operation_type == MSG_OPERATION_TYPE.MSG_OPERATION_TYPE_NEW_MESSAGE:
|
|
self.nb_received_tokens = 0
|
|
self.start_time = datetime.now()
|
|
self.update_message_step(
|
|
client_id,
|
|
"🔥 warming up ...",
|
|
MSG_OPERATION_TYPE.MSG_OPERATION_TYPE_STEP_END_SUCCESS,
|
|
)
|
|
self.update_message_step(
|
|
client_id,
|
|
"✍ generating ...",
|
|
MSG_OPERATION_TYPE.MSG_OPERATION_TYPE_STEP_END_SUCCESS,
|
|
)
|
|
self.new_message(
|
|
client_id,
|
|
self.personality.name if personality is None else personality.name,
|
|
data,
|
|
message_type=MSG_TYPE.MSG_TYPE_CONTENT,
|
|
)
|
|
return
|
|
elif operation_type == MSG_OPERATION_TYPE.MSG_OPERATION_TYPE_FINISHED_MESSAGE:
|
|
self.close_message(client_id)
|
|
return
|
|
elif operation_type == MSG_OPERATION_TYPE.MSG_OPERATION_TYPE_ADD_CHUNK:
|
|
if self.nb_received_tokens == 0:
|
|
self.start_time = datetime.now()
|
|
try:
|
|
self.update_message_step(
|
|
client_id,
|
|
"🔥 warming up ...",
|
|
MSG_OPERATION_TYPE.MSG_OPERATION_TYPE_STEP_END_SUCCESS,
|
|
)
|
|
self.update_message_step(
|
|
client_id,
|
|
"✍ generating ...",
|
|
MSG_OPERATION_TYPE.MSG_OPERATION_TYPE_STEP_END_SUCCESS,
|
|
)
|
|
except Exception as ex:
|
|
trace_exception(ex)
|
|
ASCIIColors.warning("Couldn't send status update to client")
|
|
dt = (datetime.now() - self.start_time).seconds
|
|
if dt == 0:
|
|
dt = 1
|
|
spd = self.nb_received_tokens / dt
|
|
if self.config.debug_show_chunks:
|
|
print(data, end="", flush=True)
|
|
# ASCIIColors.green(f"Received {self.nb_received_tokens} tokens (speed: {spd:.2f}t/s) ",end="\r",flush=True)
|
|
sys.stdout = sys.__stdout__
|
|
sys.stdout.flush()
|
|
if data:
|
|
client.generated_text += data
|
|
antiprompt = self.personality.detect_antiprompt(client.generated_text)
|
|
if antiprompt:
|
|
ASCIIColors.warning(f"\n{antiprompt} detected. Stopping generation")
|
|
client.generated_text = self.remove_text_from_string(
|
|
client.generated_text, antiprompt
|
|
)
|
|
self.update_message_content(
|
|
client_id,
|
|
client.generated_text,
|
|
MSG_OPERATION_TYPE.MSG_OPERATION_TYPE_SET_CONTENT,
|
|
)
|
|
return False
|
|
else:
|
|
self.nb_received_tokens += 1
|
|
if client.continuing and client.first_chunk:
|
|
self.update_message_content(
|
|
client_id,
|
|
client.generated_text,
|
|
MSG_OPERATION_TYPE.MSG_OPERATION_TYPE_SET_CONTENT,
|
|
)
|
|
else:
|
|
self.update_message_content(
|
|
client_id, data, MSG_OPERATION_TYPE.MSG_OPERATION_TYPE_ADD_CHUNK
|
|
)
|
|
|
|
client.first_chunk = False
|
|
# 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
|
|
# Stream the generated text to the main process
|
|
elif operation_type in [
|
|
MSG_OPERATION_TYPE.MSG_OPERATION_TYPE_SET_CONTENT,
|
|
MSG_OPERATION_TYPE.MSG_OPERATION_TYPE_SET_CONTENT_INVISIBLE_TO_AI,
|
|
MSG_OPERATION_TYPE.MSG_OPERATION_TYPE_SET_CONTENT_INVISIBLE_TO_USER,
|
|
]:
|
|
if self.nb_received_tokens == 0:
|
|
self.start_time = datetime.now()
|
|
try:
|
|
self.update_message_step(
|
|
client_id,
|
|
"🔥 warming up ...",
|
|
MSG_OPERATION_TYPE.MSG_OPERATION_TYPE_STEP_END_SUCCESS,
|
|
)
|
|
self.update_message_step(
|
|
client_id,
|
|
"✍ generating ...",
|
|
MSG_OPERATION_TYPE.MSG_OPERATION_TYPE_STEP_END_SUCCESS,
|
|
)
|
|
|
|
except Exception as ex:
|
|
ASCIIColors.warning("Couldn't send status update to client")
|
|
|
|
client.generated_text = data
|
|
antiprompt = self.personality.detect_antiprompt(client.generated_text)
|
|
if antiprompt:
|
|
ASCIIColors.warning(f"\n{antiprompt} detected. Stopping generation")
|
|
client.generated_text = self.remove_text_from_string(
|
|
client.generated_text, antiprompt
|
|
)
|
|
self.update_message_content(
|
|
client_id, client.generated_text, operation_type
|
|
)
|
|
return False
|
|
|
|
self.update_message_content(client_id, data, operation_type)
|
|
return True
|
|
# Stream the generated text to the frontend
|
|
else:
|
|
self.update_message_content(client_id, data, operation_type)
|
|
return True
|
|
|
|
def generate(self, context_details, is_continue, client_id, callback=None):
|
|
full_prompt, tokens = self.personality.build_context(
|
|
context_details, is_continue, True
|
|
)
|
|
n_predict = self.personality.compute_n_predict(tokens)
|
|
if self.config.debug and self.config.debug_show_final_full_prompt:
|
|
ASCIIColors.highlight(
|
|
full_prompt,
|
|
[
|
|
r
|
|
for r in [
|
|
self.config.discussion_prompt_separator,
|
|
self.config.start_header_id_template,
|
|
self.config.end_header_id_template,
|
|
self.config.separator_template,
|
|
self.config.start_user_header_id_template,
|
|
self.config.end_user_header_id_template,
|
|
self.config.end_user_message_id_template,
|
|
self.config.start_ai_header_id_template,
|
|
self.config.end_ai_header_id_template,
|
|
self.config.end_ai_message_id_template,
|
|
self.config.system_message_template,
|
|
]
|
|
if r != "" and r != "\n"
|
|
],
|
|
)
|
|
|
|
if self.config.use_smart_routing:
|
|
if (
|
|
self.config.smart_routing_router_model != ""
|
|
and len(self.config.smart_routing_models_description) >= 2
|
|
):
|
|
ASCIIColors.yellow("Using smart routing")
|
|
self.personality.step_start("Routing request")
|
|
self.back_model = (
|
|
f"{self.binding.binding_folder_name}::{self.model.model_name}"
|
|
)
|
|
try:
|
|
if not hasattr(self, "routing_model") or self.routing_model is None:
|
|
binding, model_name = self.model_path_to_binding_model(
|
|
self.config.smart_routing_router_model
|
|
)
|
|
self.select_model(binding, model_name)
|
|
self.routing_model = self.model
|
|
else:
|
|
self.set_active_model(self.routing_model)
|
|
|
|
models = [
|
|
f"{k}"
|
|
for k, v in self.config.smart_routing_models_description.items()
|
|
]
|
|
output_id, explanation = self.personality.multichoice_question(
|
|
"Select most suitable model to answer the user request given the context. Answer with the selected model index followed by an explanation in a new line.",
|
|
[
|
|
f"{k}: {v}"
|
|
for k, v in self.config.smart_routing_models_description.items()
|
|
],
|
|
"!@>user prompt:" + context_details["prompt"],
|
|
return_explanation=True,
|
|
)
|
|
if output_id >= 0 and output_id < len(models):
|
|
binding, model_name = self.model_path_to_binding_model(
|
|
models[output_id]
|
|
)
|
|
self.select_model(
|
|
binding, model_name, destroy_previous_model=False
|
|
)
|
|
self.personality.step_end("Routing request")
|
|
self.personality.step(f"Choice explanation: {explanation}")
|
|
self.personality.step(f"Selected {models[output_id]}")
|
|
else:
|
|
ASCIIColors.error(
|
|
"Model failed to find the most suited model for your request"
|
|
)
|
|
self.info(
|
|
"Model failed to find the most suited model for your request"
|
|
)
|
|
binding, model_name = self.model_path_to_binding_model(
|
|
models[0]
|
|
)
|
|
self.select_model(
|
|
binding, model_name, destroy_previous_model=False
|
|
)
|
|
self.personality.step_end("Routing request")
|
|
self.personality.step(f"Complexity level: {output_id}")
|
|
self.personality.step(f"Selected {models[output_id]}")
|
|
except Exception as ex:
|
|
self.error("Failed to route beceause of this error : " + str(ex))
|
|
self.personality.step_end("Routing request", False)
|
|
else:
|
|
ASCIIColors.yellow(
|
|
"Warning! Smart routing is active but one of the following requirements are not met"
|
|
)
|
|
ASCIIColors.yellow("- smart_routing_router_model must be set correctly")
|
|
ASCIIColors.yellow(
|
|
"- smart_routing_models_description must contain at least one model"
|
|
)
|
|
|
|
if self.personality.processor is not None:
|
|
ASCIIColors.info("Running workflow")
|
|
try:
|
|
self.personality.callback = callback
|
|
client = self.session.get_client(client_id)
|
|
self.personality.vectorizer = client.discussion.vectorizer
|
|
self.personality.text_files = client.discussion.text_files
|
|
self.personality.image_files = client.discussion.image_files
|
|
self.personality.audio_files = client.discussion.audio_files
|
|
output = self.personality.processor.run_workflow(
|
|
context_details, client, callback
|
|
)
|
|
except Exception as ex:
|
|
trace_exception(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"Workflow run failed.\nError:{ex}")
|
|
ASCIIColors.error(traceback_text)
|
|
if callback:
|
|
callback(
|
|
f"Workflow run failed\nError:{ex}",
|
|
MSG_OPERATION_TYPE.MSG_OPERATION_TYPE_EXCEPTION,
|
|
)
|
|
return
|
|
print("Finished executing the workflow")
|
|
return output
|
|
|
|
txt = self._generate(full_prompt, n_predict, client_id, callback)
|
|
ASCIIColors.success("\nFinished executing the generation")
|
|
|
|
if (
|
|
self.config.use_smart_routing
|
|
and self.config.restore_model_after_smart_routing
|
|
):
|
|
if (
|
|
self.config.smart_routing_router_model != ""
|
|
and len(self.config.smart_routing_models_description) >= 2
|
|
):
|
|
ASCIIColors.yellow("Restoring model")
|
|
self.personality.step_start("Restoring main model")
|
|
binding, model_name = self.model_path_to_binding_model(self.back_model)
|
|
self.select_model(binding, model_name)
|
|
self.personality.step_end("Restoring main model")
|
|
|
|
return txt
|
|
|
|
def _generate(self, prompt, n_predict, client_id, callback=None):
|
|
client = self.session.get_client(client_id)
|
|
if client is None:
|
|
return None
|
|
self.nb_received_tokens = 0
|
|
self.start_time = datetime.now()
|
|
if self.model is not None:
|
|
if (
|
|
self.model.binding_type == BindingType.TEXT_IMAGE
|
|
and len(client.discussion.image_files) > 0
|
|
):
|
|
if self.config["override_personality_model_parameters"]:
|
|
output = self.model.generate_with_images(
|
|
prompt,
|
|
client.discussion.image_files,
|
|
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:
|
|
prompt = "\n".join(
|
|
[
|
|
f"{self.start_header_id_template}{self.system_message_template}{self.end_header_id_template}I am an AI assistant that can converse and analyze images. When asked to locate something in an image you send, I will reply with:",
|
|
"boundingbox(image_index, label, left, top, width, height)",
|
|
"Where:",
|
|
"image_index: 0-based index of the image",
|
|
"label: brief description of what is located",
|
|
"left, top: x,y coordinates of top-left box corner (0-1 scale)",
|
|
"width, height: box dimensions as fraction of image size",
|
|
"Coordinates have origin (0,0) at top-left, (1,1) at bottom-right.",
|
|
"For other queries, I will respond conversationally to the best of my abilities.",
|
|
prompt,
|
|
]
|
|
)
|
|
output = self.model.generate_with_images(
|
|
prompt,
|
|
client.discussion.image_files,
|
|
callback=callback,
|
|
n_predict=n_predict,
|
|
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"],
|
|
)
|
|
try:
|
|
post_processed_output = process_ai_output(
|
|
output,
|
|
client.discussion.image_files,
|
|
client.discussion.discussion_folder,
|
|
)
|
|
if len(post_processed_output) != output:
|
|
self.process_data(
|
|
post_processed_output,
|
|
MSG_OPERATION_TYPE.MSG_OPERATION_TYPE_SET_CONTENT,
|
|
client_id=client_id,
|
|
)
|
|
except Exception as ex:
|
|
ASCIIColors.error(str(ex))
|
|
else:
|
|
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=n_predict,
|
|
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,
|
|
client_id,
|
|
is_continue=False,
|
|
generation_type=None,
|
|
force_using_internet=False,
|
|
):
|
|
client = self.session.get_client(client_id)
|
|
if self.personality is None:
|
|
self.warning("Select a personality")
|
|
return
|
|
ASCIIColors.info(f"Text generation requested by client: {client_id}")
|
|
# send the message to the bot
|
|
if client.discussion:
|
|
try:
|
|
ASCIIColors.info(
|
|
f"Received message : {message.content} ({len(self.model.tokenize(message.content))})"
|
|
)
|
|
# First we need to send the new message ID to the client
|
|
if is_continue:
|
|
client.discussion.load_message(message_id)
|
|
client.generated_text = message.content
|
|
else:
|
|
self.send_refresh(client_id)
|
|
self.new_message(client_id, self.personality.name, "")
|
|
self.update_message_step(
|
|
client_id,
|
|
"🔥 warming up ...",
|
|
MSG_OPERATION_TYPE.MSG_OPERATION_TYPE_STEP_START,
|
|
)
|
|
|
|
# prepare query and reception
|
|
context_details = self.prepare_query(
|
|
client_id,
|
|
message_id,
|
|
is_continue,
|
|
n_tokens=self.config.min_n_predict,
|
|
generation_type=generation_type,
|
|
force_using_internet=force_using_internet,
|
|
previous_chunk=client.generated_text if is_continue else "",
|
|
)
|
|
|
|
ASCIIColors.info(
|
|
f"prompt has {self.config.ctx_size-context_details['available_space']} tokens"
|
|
)
|
|
ASCIIColors.info(
|
|
f"warmup for generating up to {min(context_details['available_space'],self.config.max_n_predict)} tokens"
|
|
)
|
|
self.prepare_reception(client_id)
|
|
self.generating = True
|
|
client.processing = True
|
|
try:
|
|
self.generate(
|
|
context_details,
|
|
client_id=client_id,
|
|
is_continue=is_continue,
|
|
callback=partial(self.process_data, client_id=client_id),
|
|
)
|
|
if (
|
|
self.tts
|
|
and self.config.auto_read
|
|
and len(self.personality.audio_samples) > 0
|
|
):
|
|
try:
|
|
self.process_data(
|
|
"Generating voice output",
|
|
MSG_OPERATION_TYPE.MSG_OPERATION_TYPE_STEP_START,
|
|
client_id=client_id,
|
|
)
|
|
from lollms.services.tts.xtts.lollms_xtts import \
|
|
LollmsXTTS
|
|
|
|
voice = self.config.xtts_current_voice
|
|
if voice != "main_voice":
|
|
voices_folder = self.lollms_paths.custom_voices_path
|
|
else:
|
|
voices_folder = (
|
|
Path(__file__).parent.parent.parent
|
|
/ "services/xtts/voices"
|
|
)
|
|
|
|
if self.xtts.ready:
|
|
language = convert_language_name(
|
|
self.personality.language
|
|
)
|
|
self.xtts.set_speaker_folder(
|
|
Path(self.personality.audio_samples[0]).parent
|
|
)
|
|
fn = (
|
|
self.personality.name.lower()
|
|
.replace(" ", "_")
|
|
.replace(".", "")
|
|
)
|
|
fn = f"{fn}_{message_id}.wav"
|
|
url = f"audio/{fn}"
|
|
self.xtts.tts_file(
|
|
client.generated_text,
|
|
Path(self.personality.audio_samples[0]).name,
|
|
f"{fn}",
|
|
language=language,
|
|
)
|
|
fl = f"\n".join(
|
|
[
|
|
f"<audio controls>",
|
|
f' <source src="{url}" type="audio/wav">',
|
|
f" Your browser does not support the audio element.",
|
|
f"</audio>",
|
|
]
|
|
)
|
|
self.process_data(
|
|
"Generating voice output",
|
|
operation_type=MSG_OPERATION_TYPE.MSG_OPERATION_TYPE_STEP_END_SUCCESS,
|
|
client_id=client_id,
|
|
)
|
|
self.process_data(
|
|
fl,
|
|
MSG_OPERATION_TYPE.MSG_OPERATION_TYPE_UI,
|
|
client_id=client_id,
|
|
)
|
|
else:
|
|
self.InfoMessage(
|
|
"xtts is not up yet.\nPlease wait for it to load then try again. This may take some time."
|
|
)
|
|
|
|
except Exception as ex:
|
|
ASCIIColors.error("Couldn't read")
|
|
trace_exception(ex)
|
|
print()
|
|
ASCIIColors.success("## Done Generation ##")
|
|
print()
|
|
except Exception as ex:
|
|
trace_exception(ex)
|
|
print()
|
|
ASCIIColors.error("## Generation Error ##")
|
|
print()
|
|
|
|
self.cancel_gen = False
|
|
sources_text = ""
|
|
if len(context_details["documentation_entries"]) > 0:
|
|
sources_text += '<div class="text-gray-400 mr-10px">Sources:</div>'
|
|
sources_text += '<div class="mt-4 flex flex-col items-start gap-x-2 gap-y-1.5 text-sm" style="max-height: 500px; overflow-y: auto;">'
|
|
for source in context_details["documentation_entries"]:
|
|
title = source["document_title"]
|
|
path = source["document_path"]
|
|
content = source["chunk_content"]
|
|
size = source["chunk_size"]
|
|
similarity = source["similarity"]
|
|
sources_text += f"""
|
|
<div class="source-item">
|
|
<button onclick="var details = document.getElementById('source-details-{title}-{message_id}'); details.style.display = details.style.display === 'none' ? 'block' : 'none';" style="text-align: left; font-weight: bold;"><strong>{title}</strong> - ({similarity*100:.2f}%)</button>
|
|
<div id="source-details-{title}-{message_id}" style="display:none;">
|
|
<div style="max-height: 200px; overflow-y: auto;">
|
|
<p><strong>Path:</strong> {path}</p>
|
|
<p><strong>Content:</strong> {content}</p>
|
|
<p><strong>Size:</strong> {size}</p>
|
|
<p><strong>Similarity:</strong> {similarity}</p>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
"""
|
|
sources_text += "</div>"
|
|
self.personality.ui(sources_text)
|
|
if len(context_details["skills"]) > 0:
|
|
sources_text += '<div class="text-gray-400 mr-10px">Memories:</div>'
|
|
sources_text += '<div class="mt-4 w-full flex flex-col items-start gap-x-2 gap-y-1.5 text-sm" style="max-height: 500px; overflow-y: auto;">'
|
|
ind = 0
|
|
for skill in context_details["skills"]:
|
|
sources_text += f"""
|
|
<div class="source-item">
|
|
<button onclick="var details = document.getElementById('source-details-{ind}-{message_id}'); details.style.display = details.style.display === 'none' ? 'block' : 'none';" style="text-align: left; font-weight: bold;"><strong>Memory {ind}: {skill['title']}</strong> - ({skill['similarity']*100:.2f}%)</button>
|
|
<div id="source-details-{ind}-{message_id}" style="display:none;">
|
|
<div class="w-full" style="max-height: 200px; overflow-y: auto;">
|
|
<pre>{skill['content']}</pre>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
"""
|
|
ind += 1
|
|
sources_text += "</div>"
|
|
self.personality.ui(sources_text)
|
|
# Send final message
|
|
if (
|
|
self.config.activate_internet_search
|
|
or force_using_internet
|
|
or generation_type == "full_context_with_internet"
|
|
):
|
|
from lollms.internet import get_favicon_url, get_root_url
|
|
|
|
sources_text += """
|
|
<div class="mt-4 text-sm">
|
|
<div class="text-gray-500 font-semibold mb-2">Sources:</div>
|
|
<div class="grid grid-cols-1 sm:grid-cols-2 md:grid-cols-3 lg:grid-cols-4 gap-4 h-64 overflow-y-auto scrollbar-thin scrollbar-thumb-gray-300 scrollbar-track-gray-100">
|
|
"""
|
|
|
|
for source in context_details["internet_search_infos"]:
|
|
url = source["url"]
|
|
title = source["title"]
|
|
brief = source["brief"]
|
|
favicon_url = (
|
|
get_favicon_url(url)
|
|
or "/personalities/generic/lollms/assets/logo.png"
|
|
)
|
|
root_url = get_root_url(url)
|
|
|
|
sources_text += f"""
|
|
<div class="relative flex flex-col items-start gap-2 rounded-lg border border-gray-200 bg-white p-3 shadow-sm transition duration-200 ease-in-out transform hover:scale-105 hover:border-gray-300 hover:shadow-lg dark:border-gray-700 dark:bg-gray-800 dark:hover:border-gray-600 dark:hover:shadow-lg animate-fade-in">
|
|
<a class="flex items-center w-full" target="_blank" href="{url}" title="{brief}">
|
|
<img class="h-8 w-8 rounded-full" src="{favicon_url}" alt="{title}" onerror="this.onerror=null;this.src='/personalities/generic/lollms/assets/logo.png';">
|
|
<div class="ml-2">
|
|
<div class="text-gray-700 dark:text-gray-300 font-semibold text-sm">{title}</div>
|
|
<div class="text-gray-500 dark:text-gray-400 text-xs">{root_url}</div>
|
|
<div class="text-gray-400 dark:text-gray-500 text-xs">{brief}</div>
|
|
</div>
|
|
</a>
|
|
</div>
|
|
"""
|
|
|
|
sources_text += """
|
|
</div>
|
|
</div>
|
|
"""
|
|
|
|
# Add CSS for animations and scrollbar styles
|
|
sources_text += """
|
|
<style>
|
|
@keyframes fadeIn {
|
|
from { opacity: 0; transform: translateY(10px); }
|
|
to { opacity: 1; transform: translateY(0); }
|
|
}
|
|
.animate-fade-in {
|
|
animation: fadeIn 0.5s ease-in-out;
|
|
}
|
|
.scrollbar-thin::-webkit-scrollbar {
|
|
width: 8px;
|
|
}
|
|
.scrollbar-thin::-webkit-scrollbar-thumb {
|
|
background-color: #cbd5e1; /* Tailwind gray-300 */
|
|
border-radius: 10px;
|
|
}
|
|
.scrollbar-thin::-webkit-scrollbar-track {
|
|
background: #f9fafb; /* Tailwind gray-100 */
|
|
}
|
|
</style>
|
|
"""
|
|
self.personality.ui(sources_text)
|
|
|
|
except Exception as ex:
|
|
trace_exception(ex)
|
|
try:
|
|
self.update_message_step(
|
|
client_id,
|
|
"🔥 warming up ...",
|
|
MSG_OPERATION_TYPE.MSG_OPERATION_TYPE_STEP_END_SUCCESS,
|
|
)
|
|
self.update_message_step(
|
|
client_id,
|
|
"✍ generating ...",
|
|
MSG_OPERATION_TYPE.MSG_OPERATION_TYPE_STEP_END_SUCCESS,
|
|
)
|
|
except Exception as ex:
|
|
ASCIIColors.warning("Couldn't send status update to client")
|
|
self.close_message(client_id)
|
|
|
|
client.processing = False
|
|
# Clients are now kept forever
|
|
# if client.schedule_for_deletion:
|
|
# self.session.remove_client(client.client_id, client.client_id)
|
|
|
|
ASCIIColors.success(
|
|
f" ╔══════════════════════════════════════════════════╗ "
|
|
)
|
|
ASCIIColors.success(
|
|
f" ║ Done ║ "
|
|
)
|
|
ASCIIColors.success(
|
|
f" ╚══════════════════════════════════════════════════╝ "
|
|
)
|
|
if self.config.auto_title:
|
|
d = client.discussion
|
|
ttl = d.title()
|
|
if ttl is None or ttl == "" or ttl == "untitled":
|
|
title = self.make_discussion_title(d, client_id=client_id)
|
|
d.rename(title)
|
|
asyncio.run(
|
|
self.sio.emit(
|
|
"disucssion_renamed",
|
|
{
|
|
"status": True,
|
|
"discussion_id": d.discussion_id,
|
|
"title": title,
|
|
},
|
|
to=client_id,
|
|
)
|
|
)
|
|
self.busy = False
|
|
|
|
else:
|
|
self.cancel_gen = False
|
|
# No discussion available
|
|
ASCIIColors.warning("No discussion selected!!!")
|
|
|
|
self.error("No discussion selected!!!", client_id=client_id)
|
|
|
|
print()
|
|
self.busy = False
|
|
return ""
|
|
|
|
def receive_and_generate(self, text, client: Client, callback=None):
|
|
prompt = text
|
|
try:
|
|
nb_tokens = len(self.model.tokenize(prompt))
|
|
except:
|
|
nb_tokens = None
|
|
|
|
message = client.discussion.add_message(
|
|
operation_type=MSG_OPERATION_TYPE.MSG_OPERATION_TYPE_SET_CONTENT.value,
|
|
sender_type=SENDER_TYPES.SENDER_TYPES_USER.value,
|
|
sender=(
|
|
self.config.user_name.strip()
|
|
if self.config.use_user_name_in_discussions
|
|
else self.personality.user_message_prefix
|
|
),
|
|
content=prompt,
|
|
metadata=None,
|
|
parent_message_id=self.message_id,
|
|
nb_tokens=nb_tokens,
|
|
)
|
|
context_details = self.prepare_query(
|
|
client.client_id,
|
|
client.discussion.current_message.id,
|
|
False,
|
|
n_tokens=self.config.min_n_predict,
|
|
force_using_internet=False,
|
|
)
|
|
self.new_message(
|
|
client.client_id,
|
|
self.personality.name,
|
|
operation_type=MSG_OPERATION_TYPE.MSG_OPERATION_TYPE_SET_CONTENT,
|
|
content="",
|
|
)
|
|
client.generated_text = ""
|
|
ASCIIColors.info(
|
|
f"prompt has {self.config.ctx_size-context_details['available_space']} tokens"
|
|
)
|
|
ASCIIColors.info(
|
|
f"warmup for generating up to {min(context_details['available_space'],self.config.max_n_predict if self.config.max_n_predict else self.config.ctx_size)} tokens"
|
|
)
|
|
self.generate(
|
|
context_details,
|
|
client.client_id,
|
|
False,
|
|
(
|
|
callback
|
|
if callback
|
|
else partial(self.process_data, client_id=client.client_id)
|
|
),
|
|
)
|
|
self.close_message(client.client_id)
|
|
return client.generated_text
|