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from flask import Flask , jsonify , request , render_template , Response , stream_with_context
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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 ' ] )
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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)
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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 ) :
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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 } ) )
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self . current_message = " User: " + message + " \n GPT4All: "
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 ( )
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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 )