lollms-webui/app.py

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######
# 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
######
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__author__ = "parisneo"
__github__ = "https://github.com/nomic-ai/gpt4all-ui"
__copyright__ = "Copyright 2023, "
__license__ = "Apache 2.0"
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import argparse
import json
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import re
import traceback
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from concurrent.futures import ThreadPoolExecutor
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import sys
from pyGpt4All.db import DiscussionsDB, Discussion
from flask import (
Flask,
Response,
jsonify,
render_template,
request,
stream_with_context,
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send_from_directory
)
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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
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import shutil
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import markdown
class Gpt4AllWebUI(GPT4AllAPI):
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def __init__(self, _app, config:dict, personality:dict, config_file_path) -> None:
super().__init__(config, personality, config_file_path)
self.app = _app
self.cancel_gen = False
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self.add_endpoint(
"/list_backends", "list_backends", self.list_backends, methods=["GET"]
)
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self.add_endpoint(
"/list_models", "list_models", self.list_models, methods=["GET"]
)
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self.add_endpoint(
"/list_personalities_languages", "list_personalities_languages", self.list_personalities_languages, methods=["GET"]
)
self.add_endpoint(
"/list_personalities_categories", "list_personalities_categories", self.list_personalities_categories, methods=["GET"]
)
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self.add_endpoint(
"/list_personalities", "list_personalities", self.list_personalities, methods=["GET"]
)
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self.add_endpoint(
"/list_languages", "list_languages", self.list_languages, methods=["GET"]
)
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self.add_endpoint(
"/list_discussions", "list_discussions", self.list_discussions, methods=["GET"]
)
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self.add_endpoint("/set_personality_language", "set_personality_language", self.set_personality_language, methods=["GET"])
self.add_endpoint("/set_personality_category", "set_personality_category", self.set_personality_category, methods=["GET"])
self.add_endpoint("/", "", self.index, methods=["GET"])
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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("/stop", "stop", self.stop, methods=["POST"])
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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"]
)
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self.add_endpoint(
"/delete_message", "delete_message", self.delete_message, methods=["GET"]
)
self.add_endpoint(
"/set_backend", "set_backend", self.set_backend, methods=["POST"]
)
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self.add_endpoint(
"/update_model_params", "update_model_params", self.update_model_params, methods=["POST"]
)
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self.add_endpoint(
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"/get_config", "get_config", self.get_config, methods=["GET"]
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)
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self.add_endpoint(
"/extensions", "extensions", self.extensions, methods=["GET"]
)
self.add_endpoint(
"/training", "training", self.training, methods=["GET"]
)
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self.add_endpoint(
"/main", "main", self.main, methods=["GET"]
)
self.add_endpoint(
"/settings", "settings", self.settings, methods=["GET"]
)
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self.add_endpoint(
"/help", "help", self.help, methods=["GET"]
)
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def list_backends(self):
backends_dir = Path('./pyGpt4All/backends') # replace with the actual path to the models folder
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backends = [f.stem for f in backends_dir.glob('*.py') if f.stem!="backend" and f.stem!="__init__"]
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return jsonify(backends)
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def list_models(self):
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models_dir = Path('./models')/self.config["backend"] # replace with the actual path to the models folder
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models = [f.name for f in models_dir.glob(self.chatbot_bindings.file_extension)]
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return jsonify(models)
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def list_personalities_languages(self):
personalities_languages_dir = Path(f'./personalities') # replace with the actual path to the models folder
personalities_languages = [f.stem for f in personalities_languages_dir.iterdir() if f.is_dir()]
return jsonify(personalities_languages)
def list_personalities_categories(self):
personalities_categories_dir = Path(f'./personalities/{self.config["personality_language"]}') # replace with the actual path to the models folder
personalities_categories = [f.stem for f in personalities_categories_dir.iterdir() if f.is_dir()]
return jsonify(personalities_categories)
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def list_personalities(self):
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personalities_dir = Path(f'./personalities/{self.config["personality_language"]}/{self.config["personality_category"]}') # replace with the actual path to the models folder
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personalities = [f.stem for f in personalities_dir.glob('*.yaml')]
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return jsonify(personalities)
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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)
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def list_discussions(self):
discussions = self.db.get_discussions()
return jsonify(discussions)
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def set_personality_language(self):
lang = request.args.get('language')
self.config['personality_language'] = lang
return jsonify({'success':True})
def set_personality_category(self):
category = request.args.get('category')
self.config['personality_category'] = category
return jsonify({'success':True})
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
)
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def index(self):
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return render_template("index.html")
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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 <code> tag
if match:
code_block = match.group(1)
message = message.replace(code_block, f"<code>{code_block[3:-3]}</code>")
# Return the formatted message
return message
def export(self):
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return jsonify(self.db.export_to_json())
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def export_discussion(self):
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return jsonify({"discussion_text":self.get_discussion_to()})
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@stream_with_context
def parse_to_prompt_stream(self, message, message_id):
bot_says = ""
self.stop = False
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# 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",
"bot": self.personality["name"],
"user": self.personality["user_name"],
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"message":markdown.markdown(message),
"id": message_id,
"response_id": response_id,
}
)
)
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# 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)
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while self.generating:
try:
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while not self.text_queue.empty():
value = self.text_queue.get(False)
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yield value#.replace("\n","<br>")
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time.sleep(0)
except :
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time.sleep(0.1)
if self.cancel_gen:
self.cancel_gen = False
app.config['executor'].shutdown(True, True)
self.current_discussion.update_message(response_id, self.bot_says)
self.full_message_list.append(self.bot_says)
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bot_says = markdown.markdown(self.bot_says)
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yield "FINAL:"+bot_says
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return bot_says
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def bot(self):
self.stop = True
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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
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return Response(
stream_with_context(
self.parse_to_prompt_stream(message, message_id)
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), content_type='text/plain; charset=utf-8'
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)
def stop(self):
self.cancel_gen = True
return jsonify({"status": "ok"})
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def run_to(self):
data = request.get_json()
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message_id = int(data["id"])
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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)
)
)
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def rename(self):
data = request.get_json()
title = data["title"]
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self.current_discussion.rename(title)
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return "renamed successfully"
def load_discussion(self):
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data = request.get_json()
if "id" in data:
discussion_id = data["id"]
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self.current_discussion = Discussion(discussion_id, self.db)
else:
if self.current_discussion is not None:
discussion_id = self.current_discussion.discussion_id
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self.current_discussion = Discussion(discussion_id, self.db)
else:
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self.current_discussion = self.db.create_discussion()
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messages = self.current_discussion.get_messages()
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for message in messages:
message["content"] = markdown.markdown(message["content"])
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return jsonify(messages), {'Content-Type': 'application/json; charset=utf-8'}
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def delete_discussion(self):
data = request.get_json()
discussion_id = data["id"]
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self.current_discussion = Discussion(discussion_id, self.db)
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self.current_discussion.delete_discussion()
self.current_discussion = None
return jsonify({})
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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})
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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})
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def new_discussion(self):
title = request.args.get("title")
timestamp = self.create_new_discussion(title)
app.config['executor'].submit(self.create_chatbot)
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# Return a success response
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return json.dumps({"id": self.current_discussion.discussion_id, "time": timestamp, "welcome_message":self.personality["welcome_message"], "sender":self.personality["name"]})
def set_backend(self):
data = request.get_json()
backend = str(data["backend"])
if self.config['backend']!= backend:
print("New model selected")
self.config['backend'] = backend
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self.load_backend(self.BACKENDS_LIST[self.config["backend"]])
models_dir = Path('./models')/self.config["backend"] # replace with the actual path to the models folder
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models = [f.name for f in models_dir.glob(self.chatbot_bindings.file_extension)]
if len(models)>0:
self.config['model'] = models[0]
self.create_chatbot()
return jsonify({"status": "ok"})
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return jsonify({"status": "error"})
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def update_model_params(self):
data = request.get_json()
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backend = str(data["backend"])
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model = str(data["model"])
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personality_language = str(data["personality_language"])
personality_category = str(data["personality_category"])
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personality = str(data["personality"])
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if self.config['backend']!=backend or self.config['model'] != model:
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print("New model selected")
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self.config['backend'] = backend
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self.config['model'] = model
self.create_chatbot()
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self.config['personality_language'] = personality_language
self.config['personality_category'] = personality_category
self.config['personality'] = personality
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personality_fn = f"personalities/{self.config['personality_language']}/{self.config['personality_category']}/{self.config['personality']}.yaml"
print(f"Loading personality : {personality_fn}")
self.personality = load_config(personality_fn)
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self.config['n_predict'] = int(data["nPredict"])
self.config['seed'] = int(data["seed"])
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self.config['model'] = str(data["model"])
self.config['voice'] = str(data["voice"])
self.config['language'] = str(data["language"])
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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"])
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save_config(self.config, self.config_file_path)
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print("==============================================")
print("Parameters changed to:")
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print(f"\tBackend:{self.config['backend']}")
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print(f"\tModel:{self.config['model']}")
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print(f"\tPersonality language:{self.config['personality_language']}")
print(f"\tPersonality category:{self.config['personality_category']}")
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print(f"\tPersonality:{self.config['personality']}")
print(f"\tLanguage:{self.config['language']}")
print(f"\tVoice:{self.config['voice']}")
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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']}")
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print("==============================================")
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return jsonify({"status":"ok"})
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def get_config(self):
return jsonify(self.config)
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def main(self):
return render_template("main.html")
def settings(self):
return render_template("settings.html")
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def help(self):
return render_template("help.html")
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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(
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"-s", "--seed", type=int, default=None, help="Force using a specific seed value."
)
parser.add_argument(
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"-m", "--model", type=str, default=None, help="Force using a specific model."
)
parser.add_argument(
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"--temp", type=float, default=None, help="Temperature parameter for the model."
)
parser.add_argument(
"--n_predict",
type=int,
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default=None,
help="Number of tokens to predict at each step.",
)
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parser.add_argument(
"--n_threads",
type=int,
default=None,
help="Number of threads to use.",
)
parser.add_argument(
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"--top_k", type=int, default=None, help="Value for the top-k sampling."
)
parser.add_argument(
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"--top_p", type=float, default=None, help="Value for the top-p sampling."
)
parser.add_argument(
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"--repeat_penalty", type=float, default=None, help="Penalty for repeated tokens."
)
parser.add_argument(
"--repeat_last_n",
type=int,
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default=None,
help="Number of previous tokens to consider for the repeat penalty.",
)
parser.add_argument(
"--ctx_size",
type=int,
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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(
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"--host", type=str, default=None, help="the hostname to listen on"
)
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parser.add_argument("--port", type=int, default=None, help="the port to listen on")
parser.add_argument(
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"--db_path", type=str, default=None, help="Database path"
)
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parser.set_defaults(debug=False)
args = parser.parse_args()
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# 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
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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"
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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
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personality = load_config(f"personalities/{config['personality_language']}/{config['personality_category']}/{config['personality']}.yaml")
executor = ThreadPoolExecutor(max_workers=6)
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app.config['executor'] = executor
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bot = Gpt4AllWebUI(app, config, personality, config_file_path)
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if config["debug"]:
app.run(debug=True, host=config["host"], port=config["port"])
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else:
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app.run(host=config["host"], port=config["port"])