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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
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import json
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import re
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import traceback
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from concurrent . futures import ThreadPoolExecutor
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import sys
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from pyGpt4All . db import DiscussionsDB , Discussion
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from flask import (
Flask ,
Response ,
jsonify ,
render_template ,
request ,
stream_with_context ,
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send_from_directory
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)
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from pathlib import Path
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import gc
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app = Flask ( " GPT4All-WebUI " , static_url_path = " /static " , static_folder = " static " )
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import time
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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
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class Gpt4AllWebUI ( GPT4AllAPI ) :
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def __init__ ( self , _app , config : dict , personality : dict , config_file_path ) - > None :
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super ( ) . __init__ ( config , personality , config_file_path )
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self . app = _app
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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 " ] )
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self . add_endpoint ( " / " , " " , self . index , methods = [ " GET " ] )
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self . add_endpoint ( " /export_discussion " , " export_discussion " , self . export_discussion , methods = [ " GET " ] )
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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 " ] )
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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 " ] )
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self . add_endpoint ( " /rename " , " rename " , self . rename , methods = [ " POST " ] )
self . add_endpoint (
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" /load_discussion " , " load_discussion " , self . load_discussion , methods = [ " POST " ]
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)
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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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 " ]
)
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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 ( ' *.bin ' ) ]
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 ) :
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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 } )
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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
)
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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 ) :
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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
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response_id = self . current_discussion . add_message (
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self . personality [ " name " ] , " " , parent = message_id
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) # first the content is empty, but we'll fill it at the end
yield (
json . dumps (
{
" type " : " input_message_infos " ,
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" bot " : self . personality [ " name " ] ,
" user " : self . personality [ " user_name " ] ,
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" message " : markdown . markdown ( message ) ,
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" 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 ( )
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self . generating = True
app . config [ ' executor ' ] . submit ( self . generate_message )
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while self . generating :
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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 )
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except :
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time . sleep ( 0.1 )
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if self . cancel_gen :
self . cancel_gen = False
app . config [ ' executor ' ] . shutdown ( True , True )
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self . current_discussion . update_message ( response_id , self . bot_says )
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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 ) :
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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 ( )
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message = request . json [ " message " ]
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message_id = self . current_discussion . add_message (
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" user " , message , parent = self . current_message_id
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)
message = f " { request . json [ ' message ' ] } "
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self . current_message_id = message_id
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# 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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)
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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
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return Response (
stream_with_context (
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self . parse_to_prompt_stream ( " " , message_id )
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)
)
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def rename ( self ) :
data = request . get_json ( )
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title = data [ " title " ]
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self . current_discussion . rename ( title )
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return " renamed successfully "
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def load_discussion ( self ) :
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data = request . get_json ( )
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if " id " in data :
discussion_id = data [ " id " ]
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self . current_discussion = Discussion ( discussion_id , self . db )
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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 )
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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 ( )
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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 ) :
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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 ) :
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title = request . args . get ( " title " )
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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 " ] } )
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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
models_dir = Path ( ' ./models ' ) / self . config [ " backend " ] # replace with the actual path to the models folder
models = [ f . name for f in models_dir . glob ( ' *.bin ' ) ]
if len ( models ) > 0 :
self . config [ ' model ' ] = models [ 0 ]
self . create_chatbot ( )
return jsonify ( { " status " : " ok " } )
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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
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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 ( " ============================================== " )
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print ( " Parameters changed to: " )
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print ( f " \t Backend: { self . config [ ' backend ' ] } " )
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print ( f " \t Model: { self . config [ ' model ' ] } " )
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print ( f " \t Personality language: { self . config [ ' personality_language ' ] } " )
print ( f " \t Personality category: { self . config [ ' personality_category ' ] } " )
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print ( f " \t Personality: { self . config [ ' personality ' ] } " )
print ( f " \t Language: { self . config [ ' language ' ] } " )
print ( f " \t Voice: { self . config [ ' voice ' ] } " )
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print ( f " \t Temperature: { self . config [ ' temp ' ] } " )
print ( f " \t NPredict: { self . config [ ' n_predict ' ] } " )
print ( f " \t Seed: { self . config [ ' seed ' ] } " )
print ( f " \t op_k: { self . config [ ' top_k ' ] } " )
print ( f " \t op_p: { self . config [ ' top_p ' ] } " )
print ( f " \t repeat_penalty: { self . config [ ' repeat_penalty ' ] } " )
print ( f " \t repeat_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 " )
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if __name__ == " __main__ " :
parser = argparse . ArgumentParser ( description = " Start the chatbot Flask app. " )
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parser . add_argument (
" -c " , " --config " , type = str , default = " default " , help = " Sets the configuration file to be used. "
)
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parser . add_argument (
" -p " , " --personality " , type = str , default = None , help = " Selects the personality to be using. "
)
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parser . add_argument (
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" -s " , " --seed " , type = int , default = None , help = " Force using a specific seed value. "
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)
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parser . add_argument (
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" -m " , " --model " , type = str , default = None , help = " Force using a specific model. "
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)
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parser . add_argument (
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" --temp " , type = float , default = None , help = " Temperature parameter for the model. "
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)
parser . add_argument (
" --n_predict " ,
type = int ,
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default = None ,
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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. " ,
)
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parser . add_argument (
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" --top_k " , type = int , default = None , help = " Value for the top-k sampling. "
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)
parser . add_argument (
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" --top_p " , type = float , default = None , help = " Value for the top-p sampling. "
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)
parser . add_argument (
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" --repeat_penalty " , type = float , default = None , help = " Penalty for repeated tokens. "
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)
parser . add_argument (
" --repeat_last_n " ,
type = int ,
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default = None ,
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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,
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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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)
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parser . add_argument ( " --port " , type = int , default = None , help = " the port to listen on " )
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parser . add_argument (
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" --db_path " , type = str , default = None , help = " Database path "
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)
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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 " )
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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 " )
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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 " ] )