###### # Project : GPT4ALL-UI # Author : ParisNeo with the help of the community # Supported by Nomic-AI # Licence : Apache 2.0 # Description : # A front end Flask application for llamacpp models. # The official GPT4All Web ui # Made by the community for the community ###### import argparse import json import re import traceback from concurrent.futures import ThreadPoolExecutor import sys from pyGpt4All.db import DiscussionsDB, Discussion from flask import ( Flask, Response, jsonify, render_template, request, stream_with_context, send_from_directory ) from queue import Queue from pathlib import Path import gc app = Flask("GPT4All-WebUI", static_url_path="/static", static_folder="static") import time from pyGpt4All.config import load_config, save_config from pyGpt4All.api import GPT4AllAPI import shutil class Gpt4AllWebUI(GPT4AllAPI): def __init__(self, _app, config:dict, personality:dict, config_file_path) -> None: super().__init__(config, personality, config_file_path) self.app = _app self.add_endpoint( "/list_models", "list_models", self.list_models, methods=["GET"] ) self.add_endpoint( "/list_personalities", "list_personalities", self.list_personalities, methods=["GET"] ) self.add_endpoint( "/list_languages", "list_languages", self.list_languages, methods=["GET"] ) self.add_endpoint( "/list_discussions", "list_discussions", self.list_discussions, methods=["GET"] ) self.add_endpoint("/", "", self.index, methods=["GET"]) self.add_endpoint("/export_discussion", "export_discussion", self.export_discussion, methods=["GET"]) self.add_endpoint("/export", "export", self.export, methods=["GET"]) self.add_endpoint( "/new_discussion", "new_discussion", self.new_discussion, methods=["GET"] ) self.add_endpoint("/bot", "bot", self.bot, methods=["POST"]) self.add_endpoint("/run_to", "run_to", self.run_to, methods=["POST"]) self.add_endpoint("/rename", "rename", self.rename, methods=["POST"]) self.add_endpoint( "/load_discussion", "load_discussion", self.load_discussion, methods=["POST"] ) self.add_endpoint( "/delete_discussion", "delete_discussion", self.delete_discussion, methods=["POST"], ) self.add_endpoint( "/update_message", "update_message", self.update_message, methods=["GET"] ) self.add_endpoint( "/message_rank_up", "message_rank_up", self.message_rank_up, methods=["GET"] ) self.add_endpoint( "/message_rank_down", "message_rank_down", self.message_rank_down, methods=["GET"] ) self.add_endpoint( "/delete_message", "delete_message", self.delete_message, methods=["GET"] ) self.add_endpoint( "/update_model_params", "update_model_params", self.update_model_params, methods=["POST"] ) self.add_endpoint( "/get_config", "get_config", self.get_config, methods=["GET"] ) self.add_endpoint( "/extensions", "extensions", self.extensions, methods=["GET"] ) self.add_endpoint( "/training", "training", self.training, methods=["GET"] ) self.add_endpoint( "/main", "main", self.main, methods=["GET"] ) self.add_endpoint( "/settings", "settings", self.settings, methods=["GET"] ) self.add_endpoint( "/help", "help", self.help, methods=["GET"] ) def list_models(self): models_dir = Path('./models') # replace with the actual path to the models folder models = [f.name for f in models_dir.glob('*.bin')] return jsonify(models) def list_personalities(self): personalities_dir = Path('./personalities') # replace with the actual path to the models folder personalities = [f.stem for f in personalities_dir.glob('*.yaml')] return jsonify(personalities) def list_languages(self): lanuguages= [ { "value": "en-US", "label": "English" }, { "value": "fr-FR", "label": "Français" }, { "value": "ar-AR", "label": "العربية" }, { "value": "it-IT", "label": "Italiano" }, { "value": "de-DE", "label": "Deutsch" }, { "value": "nl-XX", "label": "Dutch" }, { "value": "zh-CN", "label": "中國人" } ] return jsonify(lanuguages) def list_discussions(self): discussions = self.db.get_discussions() return jsonify(discussions) def add_endpoint( self, endpoint=None, endpoint_name=None, handler=None, methods=["GET"], *args, **kwargs, ): self.app.add_url_rule( endpoint, endpoint_name, handler, methods=methods, *args, **kwargs ) def index(self): return render_template("chat.html") def format_message(self, message): # Look for a code block within the message pattern = re.compile(r"(```.*?```)", re.DOTALL) match = pattern.search(message) # If a code block is found, replace it with a tag if match: code_block = match.group(1) message = message.replace(code_block, f"{code_block[3:-3]}") # Return the formatted message return message def export(self): return jsonify(self.db.export_to_json()) def export_discussion(self): return jsonify(self.full_message) @stream_with_context def parse_to_prompt_stream(self, message, message_id): bot_says = "" self.stop = False # send the message to the bot print(f"Received message : {message}") # First we need to send the new message ID to the client response_id = self.current_discussion.add_message( self.personality["name"], "", parent = message_id ) # first the content is empty, but we'll fill it at the end yield ( json.dumps( { "type": "input_message_infos", "sender": self.personality["name"], "message": message, "id": message_id, "response_id": response_id, } ) ) # prepare query and reception self.discussion_messages = self.prepare_query(message_id) self.prepare_reception() self.generating = True app.config['executor'].submit(self.generate_message) while self.generating or not self.text_queue.empty(): try: value = self.text_queue.get(False) yield value except : time.sleep(1) self.current_discussion.update_message(response_id, self.bot_says) self.full_message_list.append(self.bot_says) return "\n".join(bot_says) def bot(self): self.stop = True if self.current_discussion is None: if self.db.does_last_discussion_have_messages(): self.current_discussion = self.db.create_discussion() else: self.current_discussion = self.db.load_last_discussion() message = request.json["message"] message_id = self.current_discussion.add_message( "user", message, parent=self.current_message_id ) message = f"{request.json['message']}" self.current_message_id = message_id # Segmented (the user receives the output as it comes) # We will first send a json entry that contains the message id and so on, then the text as it goes return Response( stream_with_context( self.parse_to_prompt_stream(message, message_id) ) ) def run_to(self): data = request.get_json() message_id = data["id"] self.stop = True # Segmented (the user receives the output as it comes) # We will first send a json entry that contains the message id and so on, then the text as it goes return Response( stream_with_context( self.parse_to_prompt_stream("",message_id) ) ) def rename(self): data = request.get_json() title = data["title"] self.current_discussion.rename(title) return "renamed successfully" def load_discussion(self): data = request.get_json() if "id" in data: discussion_id = data["id"] self.current_discussion = Discussion(discussion_id, self.db) else: if self.current_discussion is not None: discussion_id = self.current_discussion.discussion_id self.current_discussion = Discussion(discussion_id, self.db) else: self.current_discussion = self.db.create_discussion() messages = self.current_discussion.get_messages() return jsonify(messages) def delete_discussion(self): data = request.get_json() discussion_id = data["id"] self.current_discussion = Discussion(discussion_id, self.db) self.current_discussion.delete_discussion() self.current_discussion = None return jsonify({}) def update_message(self): discussion_id = request.args.get("id") new_message = request.args.get("message") self.current_discussion.update_message(discussion_id, new_message) return jsonify({"status": "ok"}) def message_rank_up(self): discussion_id = request.args.get("id") new_rank = self.current_discussion.message_rank_up(discussion_id) return jsonify({"new_rank": new_rank}) def message_rank_down(self): discussion_id = request.args.get("id") new_rank = self.current_discussion.message_rank_down(discussion_id) return jsonify({"new_rank": new_rank}) def delete_message(self): discussion_id = request.args.get("id") new_rank = self.current_discussion.delete_message(discussion_id) return jsonify({"new_rank": new_rank}) def new_discussion(self): title = request.args.get("title") timestamp = self.create_new_discussion(title) app.config['executor'].submit(self.create_chatbot) # Return a success response return json.dumps({"id": self.current_discussion.discussion_id, "time": timestamp, "welcome_message":self.personality["welcome_message"]}) def update_model_params(self): data = request.get_json() model = str(data["model"]) personality = str(data["personality"]) if self.config['model'] != model: print("New model selected") self.config['model'] = model self.create_chatbot() if self.config['personality']!=data["personality"]: self.config['personality'] = data["personality"] self.personality = load_config(f"personalities/{self.config['personality']}.yaml") self.config['n_predict'] = int(data["nPredict"]) self.config['seed'] = int(data["seed"]) self.config['model'] = str(data["model"]) self.config['voice'] = str(data["voice"]) self.config['language'] = str(data["language"]) self.config['temp'] = float(data["temp"]) self.config['top_k'] = int(data["topK"]) self.config['top_p'] = float(data["topP"]) self.config['repeat_penalty'] = float(data["repeatPenalty"]) self.config['repeat_last_n'] = int(data["repeatLastN"]) save_config(self.config, self.config_file_path) print("Parameters changed to:") print(f"\tModel:{self.config['model']}") print(f"\tPersonality:{self.config['personality']}") print(f"\tLanguage:{self.config['language']}") print(f"\tVoice:{self.config['voice']}") print(f"\tTemperature:{self.config['temp']}") print(f"\tNPredict:{self.config['n_predict']}") print(f"\tSeed:{self.config['seed']}") print(f"\top_k:{self.config['top_k']}") print(f"\top_p:{self.config['top_p']}") print(f"\trepeat_penalty:{self.config['repeat_penalty']}") print(f"\trepeat_last_n:{self.config['repeat_last_n']}") return jsonify({"status":"ok"}) def get_config(self): return jsonify(self.config) def main(self): return render_template("main.html") def settings(self): return render_template("settings.html") def help(self): return render_template("help.html") def training(self): return render_template("training.html") def extensions(self): return render_template("extensions.html") if __name__ == "__main__": parser = argparse.ArgumentParser(description="Start the chatbot Flask app.") parser.add_argument( "-c", "--config", type=str, default="default", help="Sets the configuration file to be used." ) parser.add_argument( "-p", "--personality", type=str, default=None, help="Selects the personality to be using." ) parser.add_argument( "-s", "--seed", type=int, default=None, help="Force using a specific seed value." ) parser.add_argument( "-m", "--model", type=str, default=None, help="Force using a specific model." ) parser.add_argument( "--temp", type=float, default=None, help="Temperature parameter for the model." ) parser.add_argument( "--n_predict", type=int, default=None, help="Number of tokens to predict at each step.", ) parser.add_argument( "--top_k", type=int, default=None, help="Value for the top-k sampling." ) parser.add_argument( "--top_p", type=float, default=None, help="Value for the top-p sampling." ) parser.add_argument( "--repeat_penalty", type=float, default=None, help="Penalty for repeated tokens." ) parser.add_argument( "--repeat_last_n", type=int, default=None, help="Number of previous tokens to consider for the repeat penalty.", ) parser.add_argument( "--ctx_size", type=int, default=None,#2048, help="Size of the context window for the model.", ) parser.add_argument( "--debug", dest="debug", action="store_true", help="launch Flask server in debug mode", ) parser.add_argument( "--host", type=str, default=None, help="the hostname to listen on" ) parser.add_argument("--port", type=int, default=None, help="the port to listen on") parser.add_argument( "--db_path", type=str, default=None, help="Database path" ) parser.set_defaults(debug=False) args = parser.parse_args() # The default configuration must be kept unchanged as it is committed to the repository, # so we have to make a copy that is not comitted if args.config=="default": args.config = "local_default" if not Path(f"configs/local_default.yaml").exists(): print("No local configuration file found. Building from scratch") shutil.copy(f"configs/default.yaml", f"configs/local_default.yaml") config_file_path = f"configs/{args.config}.yaml" config = load_config(config_file_path) # Override values in config with command-line arguments for arg_name, arg_value in vars(args).items(): if arg_value is not None: config[arg_name] = arg_value personality = load_config(f"personalities/{config['personality']}.yaml") executor = ThreadPoolExecutor(max_workers=2) app.config['executor'] = executor bot = Gpt4AllWebUI(app, config, personality, config_file_path) if config["debug"]: app.run(debug=True, host=config["host"], port=config["port"]) else: app.run(host=config["host"], port=config["port"])