lollms-webui/app.py

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from flask import Flask, jsonify, request, render_template, Response, stream_with_context
from pyllamacpp.model import Model
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import argparse
import threading
from io import StringIO
import sys
import re
import sqlite3
from datetime import datetime
import sqlite3
import json
import time
import traceback
import select
#=================================== Database ==================================================================
class Discussion:
def __init__(self, discussion_id, db_path='database.db'):
self.discussion_id = discussion_id
self.db_path = db_path
@staticmethod
def create_discussion(db_path='database.db', title='untitled'):
with sqlite3.connect(db_path) as conn:
cur = conn.cursor()
cur.execute("INSERT INTO discussion (title) VALUES (?)", (title,))
discussion_id = cur.lastrowid
conn.commit()
return Discussion(discussion_id, db_path)
@staticmethod
def get_discussion(db_path='database.db', id=0):
return Discussion(id, db_path)
def add_message(self, sender, content):
with sqlite3.connect(self.db_path) as conn:
cur = conn.cursor()
cur.execute('INSERT INTO message (sender, content, discussion_id) VALUES (?, ?, ?)',
(sender, content, self.discussion_id))
message_id = cur.lastrowid
conn.commit()
return message_id
@staticmethod
def get_discussions(db_path):
with sqlite3.connect(db_path) as conn:
cursor = conn.cursor()
cursor.execute('SELECT * FROM discussion')
rows = cursor.fetchall()
return [{'id': row[0], 'title': row[1]} for row in rows]
@staticmethod
def rename(db_path, discussion_id, title):
with sqlite3.connect(db_path) as conn:
cursor = conn.cursor()
cursor.execute('UPDATE discussion SET title=? WHERE id=?', (title, discussion_id))
conn.commit()
def delete_discussion(self):
with sqlite3.connect(self.db_path) as conn:
cur = conn.cursor()
cur.execute('DELETE FROM message WHERE discussion_id=?', (self.discussion_id,))
cur.execute('DELETE FROM discussion WHERE id=?', (self.discussion_id,))
conn.commit()
def get_messages(self):
with sqlite3.connect(self.db_path) as conn:
cur = conn.cursor()
cur.execute('SELECT * FROM message WHERE discussion_id=?', (self.discussion_id,))
rows = cur.fetchall()
return [{'sender': row[1], 'content': row[2], 'id':row[0]} for row in rows]
def update_message(self, message_id, new_content):
with sqlite3.connect(self.db_path) as conn:
cur = conn.cursor()
cur.execute('UPDATE message SET content = ? WHERE id = ?', (new_content, message_id))
conn.commit()
def remove_discussion(self):
with sqlite3.connect(self.db_path) as conn:
conn.cursor().execute('DELETE FROM discussion WHERE id=?', (self.discussion_id,))
conn.commit()
def last_discussion_has_messages(db_path='database.db'):
with sqlite3.connect(db_path) as conn:
c = conn.cursor()
c.execute("SELECT * FROM message ORDER BY id DESC LIMIT 1")
last_message = c.fetchone()
return last_message is not None
def export_to_json(db_path='database.db'):
with sqlite3.connect(db_path) as conn:
cur = conn.cursor()
cur.execute('SELECT * FROM discussion')
discussions = []
for row in cur.fetchall():
discussion_id = row[0]
discussion = {'id': discussion_id, 'messages': []}
cur.execute('SELECT * FROM message WHERE discussion_id=?', (discussion_id,))
for message_row in cur.fetchall():
discussion['messages'].append({'sender': message_row[1], 'content': message_row[2]})
discussions.append(discussion)
return discussions
def remove_discussions(db_path='database.db'):
with sqlite3.connect(db_path) as conn:
cur = conn.cursor()
cur.execute('DELETE FROM message')
cur.execute('DELETE FROM discussion')
conn.commit()
# create database schema
def check_discussion_db(db_path):
print("Checking discussions database...")
with sqlite3.connect(db_path) as conn:
cur = conn.cursor()
cur.execute('''
CREATE TABLE IF NOT EXISTS discussion (
id INTEGER PRIMARY KEY AUTOINCREMENT,
title TEXT
)
''')
cur.execute('''
CREATE TABLE IF NOT EXISTS message (
id INTEGER PRIMARY KEY AUTOINCREMENT,
sender TEXT NOT NULL,
content TEXT NOT NULL,
discussion_id INTEGER NOT NULL,
FOREIGN KEY (discussion_id) REFERENCES discussion(id)
)
''')
conn.commit()
print("Ok")
# ========================================================================================================================
app = Flask("GPT4All-WebUI", static_url_path='/static', static_folder='static')
class Gpt4AllWebUI():
def __init__(self, chatbot_bindings, app, db_path='database.db') -> None:
self.current_discussion = None
self.chatbot_bindings = chatbot_bindings
self.app=app
self.db_path= db_path
self.add_endpoint('/', '', self.index, 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('/discussions', 'discussions', self.discussions, methods=['GET'])
self.add_endpoint('/rename', 'rename', self.rename, methods=['POST'])
self.add_endpoint('/get_messages', 'get_messages', self.get_messages, 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'])
conditionning_message="""
Instruction: Act as GPT4All. A kind and helpful AI bot built to help users solve problems.
Start by welcoming the user then stop sending text.
GPT4All:"""
self.prepare_query(conditionning_message)
chatbot_bindings.generate(conditionning_message, n_predict=55, new_text_callback=self.new_text_callback, n_threads=8)
print(f"Bot said:{self.bot_says}")
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# Chatbot conditionning
# response = self.chatbot_bindings.prompt("This is a discussion between A user and an AI. AI responds to user questions in a helpful manner. AI is not allowed to lie or deceive. AI welcomes the user\n### Response:")
# print(response)
def prepare_query(self, message):
self.bot_says=''
self.full_text=''
self.is_bot_text_started=False
self.current_message = message
def new_text_callback(self, text: str):
print(text, end="")
self.full_text += text
if self.is_bot_text_started:
self.bot_says += text
if self.current_message in self.full_text:
self.is_bot_text_started=True
def new_text_callback_with_yield(self, text: str):
"""
To do , fix the problem with yield to be able to show interactive response as text comes
"""
print(text, end="")
self.full_text += text
if self.is_bot_text_started:
self.bot_says += text
if self.current_message in self.full_text:
self.is_bot_text_started=True
yield text
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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 <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):
return jsonify(export_to_json(self.db_path))
@stream_with_context
def parse_to_prompt_stream(self, message, message_id):
bot_says = ''
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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("GPT4All",'') # first the content is empty, but we'll fill it at the end
yield(json.dumps({'type':'input_message_infos','message':message, 'id':message_id, 'response_id':response_id}))
self.current_message = "User: "+message+"\nGPT4All:"
self.prepare_query(self.current_message)
chatbot_bindings.generate(self.current_message, n_predict=55, new_text_callback=self.new_text_callback, n_threads=8)
self.current_discussion.update_message(response_id,self.bot_says)
yield self.bot_says
# TODO : change this to use the yield version in order to send text word by word
return "\n".join(bot_says)
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def bot(self):
self.stop=True
with sqlite3.connect(self.db_path) as conn:
try:
if self.current_discussion is None or not last_discussion_has_messages(self.db_path):
self.current_discussion=Discussion.create_discussion(self.db_path)
message_id = self.current_discussion.add_message("user", request.json['message'])
message = f"{request.json['message']}"
# 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)))
except Exception as ex:
print(ex)
msg = traceback.print_exc()
return "<b style='color:red;'>Exception :<b>"+str(ex)+"<br>"+traceback.format_exc()+"<br>Please report exception"
def discussions(self):
try:
discussions = Discussion.get_discussions(self.db_path)
return jsonify(discussions)
except Exception as ex:
print(ex)
msg = traceback.print_exc()
return "<b style='color:red;'>Exception :<b>"+str(ex)+"<br>"+traceback.format_exc()+"<br>Please report exception"
def rename(self):
data = request.get_json()
id = data['id']
title = data['title']
Discussion.rename(self.db_path, id, title)
return "renamed successfully"
def get_messages(self):
data = request.get_json()
id = data['id']
self.current_discussion = Discussion(id,self.db_path)
messages = self.current_discussion.get_messages()
return jsonify(messages)
def delete_discussion(self):
data = request.get_json()
id = data['id']
self.current_discussion = Discussion(id, self.db_path)
self.current_discussion.delete_discussion()
self.current_discussion = None
return jsonify({})
def update_message(self):
try:
id = request.args.get('id')
new_message = request.args.get('message')
self.current_discussion.update_message(id, new_message)
return jsonify({"status":'ok'})
except Exception as ex:
print(ex)
msg = traceback.print_exc()
return "<b style='color:red;'>Exception :<b>"+str(ex)+"<br>"+traceback.format_exc()+"<br>Please report exception"
def new_discussion(self):
title = request.args.get('title')
self.current_discussion= Discussion.create_discussion(self.db_path, title)
# Get the current timestamp
timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
# add a new discussion
self.chatbot_bindings.close()
self.chatbot_bindings.open()
# Return a success response
return json.dumps({'id': self.current_discussion.discussion_id})
if __name__ == '__main__':
parser = argparse.ArgumentParser(description='Start the chatbot Flask app.')
parser.add_argument('--temp', type=float, default=0.1, help='Temperature parameter for the model.')
parser.add_argument('--n_predict', type=int, default=128, help='Number of tokens to predict at each step.')
parser.add_argument('--top_k', type=int, default=40, help='Value for the top-k sampling.')
parser.add_argument('--top_p', type=float, default=0.95, help='Value for the top-p sampling.')
parser.add_argument('--repeat_penalty', type=float, default=1.3, help='Penalty for repeated tokens.')
parser.add_argument('--repeat_last_n', type=int, default=64, help='Number of previous tokens to consider for the repeat penalty.')
parser.add_argument('--ctx_size', type=int, default=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='localhost', help='the hostname to listen on')
parser.add_argument('--port', type=int, default=9600, help='the port to listen on')
parser.add_argument('--db_path', type=str, default='database.db', help='Database path')
parser.set_defaults(debug=False)
args = parser.parse_args()
chatbot_bindings = Model(ggml_model='./models/gpt4all-converted.bin', n_ctx=512)
# Old Code
# GPT4All(decoder_config = {
# 'temp': args.temp,
# 'n_predict':args.n_predict,
# 'top_k':args.top_k,
# 'top_p':args.top_p,
# #'color': True,#"## Instruction",
# 'repeat_penalty': args.repeat_penalty,
# 'repeat_last_n':args.repeat_last_n,
# 'ctx_size': args.ctx_size
# })
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check_discussion_db(args.db_path)
bot = Gpt4AllWebUI(chatbot_bindings, app, args.db_path)
if args.debug:
app.run(debug=True, host=args.host, port=args.port)
else:
app.run(host=args.host, port=args.port)