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New code struture with separated backend

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This commit is contained in:
Saifeddine ALOUI 2023-04-15 13:30:08 +02:00
parent dd7479f786
commit 072f860bb7
11 changed files with 197 additions and 168 deletions
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4
.gitignore vendored
View File

@ -150,6 +150,10 @@ configs/*
personalities/*
!personalities/gpt4all_chatbot.yaml
# personalities other than the default one
databases/*
!databases/.keep
# extensions
extensions/
!extensions/.keep

178
app.py
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@ -13,10 +13,9 @@ import argparse
import json
import re
import traceback
from datetime import datetime
from concurrent.futures import ThreadPoolExecutor
import sys
from db import DiscussionsDB, Discussion
from pyGpt4All.db import DiscussionsDB, Discussion
from flask import (
Flask,
Response,
@ -26,34 +25,20 @@ from flask import (
stream_with_context,
send_from_directory
)
from pyllamacpp.model import Model
from queue import Queue
from pathlib import Path
import gc
app = Flask("GPT4All-WebUI", static_url_path="/static", static_folder="static")
import time
from config import load_config, save_config
from pyGpt4All.config import load_config, save_config
from pyGpt4All.api import GPT4AllAPI
import shutil
class Gpt4AllWebUI:
class Gpt4AllWebUI(GPT4AllAPI):
def __init__(self, _app, config:dict, personality:dict, config_file_path) -> None:
self.config = config
self.config_file_path = config_file_path
self.personality = personality
self.current_discussion = None
self.current_message_id = 0
self.app = _app
self.db_path = config["db_path"]
self.db = DiscussionsDB(self.db_path)
# If the database is empty, populate it with tables
self.db.populate()
super().__init__(config, personality, config_file_path)
self.app = _app
# workaround for non interactive mode
self.full_message = ""
self.full_message_list = []
self.prompt_message = ""
# This is the queue used to stream text to the ui as the bot spits out its response
self.text_queue = Queue(0)
self.add_endpoint(
"/list_models", "list_models", self.list_models, methods=["GET"]
@ -131,7 +116,6 @@ class Gpt4AllWebUI:
"/help", "help", self.help, methods=["GET"]
)
self.prepare_a_new_chatbot()
def list_models(self):
models_dir = Path('./models') # replace with the actual path to the models folder
@ -161,63 +145,6 @@ class Gpt4AllWebUI:
return jsonify(discussions)
def prepare_a_new_chatbot(self):
# Create chatbot
self.chatbot_bindings = self.create_chatbot()
def create_chatbot(self):
try:
return Model(
ggml_model=f"./models/{self.config['model']}",
n_ctx=self.config['ctx_size'],
seed=self.config['seed'],
)
except Exception as ex:
print(f"Exception {ex}")
return None
def condition_chatbot(self, conditionning_message):
if self.current_discussion is None:
self.current_discussion = self.db.load_last_discussion()
message_id = self.current_discussion.add_message(
"conditionner",
conditionning_message,
DiscussionsDB.MSG_TYPE_CONDITIONNING,
0,
self.current_message_id
)
self.current_message_id = message_id
if self.personality["welcome_message"]!="":
message_id = self.current_discussion.add_message(
self.personality["name"], self.personality["welcome_message"],
DiscussionsDB.MSG_TYPE_NORMAL,
0,
self.current_message_id
)
self.current_message_id = message_id
return message_id
def prepare_query(self):
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="")
sys.stdout.flush()
self.full_text += text
if self.is_bot_text_started:
self.bot_says += text
self.full_message += text
self.text_queue.put(text)
#if self.current_message in self.full_text:
if len(self.prompt_message) < len(self.full_text):
self.is_bot_text_started = True
def add_endpoint(
self,
endpoint=None,
@ -253,24 +180,6 @@ class Gpt4AllWebUI:
def export_discussion(self):
return jsonify(self.full_message)
def generate_message(self):
self.generating=True
self.text_queue=Queue()
gc.collect()
self.chatbot_bindings.generate(
self.prompt_message,#self.full_message,#self.current_message,
new_text_callback=self.new_text_callback,
n_predict=len(self.current_message)+self.config['n_predict'],
temp=self.config['temp'],
top_k=self.config['top_k'],
top_p=self.config['top_p'],
repeat_penalty=self.config['repeat_penalty'],
repeat_last_n = self.config['repeat_last_n'],
#seed=self.config['seed'],
n_threads=8
)
self.generating=False
@stream_with_context
def parse_to_prompt_stream(self, message, message_id):
@ -281,7 +190,7 @@ class Gpt4AllWebUI:
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"], ""
self.personality["name"], "", parent = message_id
) # first the content is empty, but we'll fill it at the end
yield (
json.dumps(
@ -295,15 +204,9 @@ class Gpt4AllWebUI:
)
)
self.current_message = self.personality["message_prefix"] + message + self.personality["message_suffix"]
self.full_message += self.current_message
self.full_message_list.append(self.current_message)
if len(self.full_message_list) > self.config["nb_messages_to_remember"]:
self.prompt_message = self.personality["personality_conditionning"]+ '\n'.join(self.full_message_list[-self.config["nb_messages_to_remember"]:])
else:
self.prompt_message = self.full_message
self.prepare_query()
# 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():
@ -313,12 +216,8 @@ class Gpt4AllWebUI:
except :
time.sleep(1)
self.current_discussion.update_message(response_id, self.bot_says)
self.full_message_list.append(self.bot_says)
#yield self.bot_says# .encode('utf-8').decode('utf-8')
# TODO : change this to use the yield version in order to send text word by word
return "\n".join(bot_says)
@ -331,11 +230,13 @@ class Gpt4AllWebUI:
else:
self.current_discussion = self.db.load_last_discussion()
message = request.json["message"]
message_id = self.current_discussion.add_message(
"user", request.json["message"], parent=self.current_message_id
"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(
@ -348,19 +249,12 @@ class Gpt4AllWebUI:
def run_to(self):
data = request.get_json()
message_id = data["id"]
self.stop = True
message_id = self.current_discussion.add_message(
"user", request.json["message"], parent=message_id
)
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)
self.parse_to_prompt_stream("",message_id)
)
)
@ -370,24 +264,6 @@ class Gpt4AllWebUI:
self.current_discussion.rename(title)
return "renamed successfully"
def restore_discussion(self, full_message):
self.prompt_message = full_message
if len(self.full_message_list)>5:
self.prompt_message = "\n".join(self.full_message_list[-5:])
self.chatbot_bindings.generate(
self.prompt_message,#full_message,
new_text_callback=self.new_text_callback,
n_predict=0,#len(full_message),
temp=self.config['temp'],
top_k=self.config['top_k'],
top_p=self.config['top_p'],
repeat_penalty= self.config['repeat_penalty'],
repeat_last_n = self.config['repeat_last_n'],
n_threads=8
)
def load_discussion(self):
data = request.get_json()
if "id" in data:
@ -402,15 +278,6 @@ class Gpt4AllWebUI:
messages = self.current_discussion.get_messages()
self.full_message = ""
self.full_message_list = []
for message in messages:
if message['sender']!="conditionner":
self.full_message += message['sender'] + ": " + message['content'] + "\n"
self.full_message_list.append(message['sender'] + ": " + message['content'])
self.current_message_id=message['id']
app.config['executor'].submit(self.restore_discussion, self.full_message)
return jsonify(messages)
def delete_discussion(self):
@ -445,17 +312,8 @@ class Gpt4AllWebUI:
def new_discussion(self):
title = request.args.get("title")
self.current_discussion = self.db.create_discussion(title)
# Get the current timestamp
timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
app.config['executor'].submit(self.prepare_a_new_chatbot)
self.full_message =""
# Chatbot conditionning
self.condition_chatbot(self.personality["personality_conditionning"])
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"]})
@ -466,7 +324,7 @@ class Gpt4AllWebUI:
if self.config['model'] != model:
print("New model selected")
self.config['model'] = model
self.prepare_a_new_chatbot()
self.create_chatbot()
self.config['n_predict'] = int(data["nPredict"])
self.config['seed'] = int(data["seed"])

3
configs/default.yaml
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@ -1,7 +1,8 @@
config: default
ctx_size: 512
db_path: database.db
db_path: databases/database.db
debug: false
n_threads: 8
host: localhost
language: en-US
model: gpt4all-lora-quantized-ggml.bin

0
databases/.keep Normal file
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2
personalities/gpt4all_chatbot.yaml
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@ -27,7 +27,7 @@ personality_conditionning: |
welcome_message: "Welcome! I am GPT4All A free and open discussion AI. What can I do for you today?"
# This prefix is added at the beginning of any message input by the user
message_prefix: "\nuser: "
message_prefix: "user: "
# This suffix is added at the end of any message input by the user
message_suffix: "\ngpt4all: "

162
pyGpt4All/api.py Normal file
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@ -0,0 +1,162 @@
######
# Project : GPT4ALL-UI
# File : api.py
# Author : ParisNeo with the help of the community
# Supported by Nomic-AI
# Licence : Apache 2.0
# Description :
# A simple api to communicate with gpt4all-ui and its models.
######
import gc
import sys
from queue import Queue
from datetime import datetime
from pyllamacpp.model import Model
from pyGpt4All.db import DiscussionsDB
class GPT4AllAPI():
def __init__(self, config:dict, personality:dict, config_file_path) -> None:
self.config = config
self.personality = personality
self.config_file_path = config_file_path
# This is the queue used to stream text to the ui as the bot spits out its response
self.text_queue = Queue(0)
# Keeping track of current discussion and message
self.current_discussion = None
self.current_message_id = 0
self.db_path = config["db_path"]
# Create database object
self.db = DiscussionsDB(self.db_path)
# If the database is empty, populate it with tables
self.db.populate()
# This is used to keep track of messages
self.full_message_list = []
# Build chatbot
self.chatbot_bindings = self.create_chatbot()
print("Chatbot created successfully")
# tests the model
"""
self.prepare_reception()
self.discussion_messages = "Instruction: Act as gpt4all. A kind and helpful AI bot built to help users solve problems.\nuser: how to build a water rocket?\ngpt4all:"
self.chatbot_bindings.generate(
self.discussion_messages,
new_text_callback=self.new_text_callback,
n_predict=372,
temp=self.config['temp'],
top_k=self.config['top_k'],
top_p=self.config['top_p'],
repeat_penalty=self.config['repeat_penalty'],
repeat_last_n = self.config['repeat_last_n'],
#seed=self.config['seed'],
n_threads=self.config['n_threads']
)
"""
# generation status
self.generating=False
def create_chatbot(self):
try:
return Model(
ggml_model=f"./models/{self.config['model']}",
n_ctx=self.config['ctx_size'],
seed=self.config['seed'],
)
except Exception as ex:
print(f"Exception {ex}")
return None
def condition_chatbot(self, conditionning_message):
if self.current_discussion is None:
self.current_discussion = self.db.load_last_discussion()
message_id = self.current_discussion.add_message(
"conditionner",
conditionning_message,
DiscussionsDB.MSG_TYPE_CONDITIONNING,
0,
0
)
self.current_message_id = message_id
if self.personality["welcome_message"]!="":
message_id = self.current_discussion.add_message(
self.personality["name"], self.personality["welcome_message"],
DiscussionsDB.MSG_TYPE_NORMAL,
0,
self.current_message_id
)
self.current_message_id = message_id
return message_id
def prepare_reception(self):
self.bot_says = ""
self.full_text = ""
self.is_bot_text_started = False
#self.current_message = message
def create_new_discussion(self, title):
self.current_discussion = self.db.create_discussion(title)
# Get the current timestamp
timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
# Chatbot conditionning
self.condition_chatbot(self.personality["personality_conditionning"])
return timestamp
def prepare_query(self, message_id=-1):
messages = self.current_discussion.get_messages()
self.full_message_list = []
for message in messages:
if message["id"]<= message_id or message_id==-1:
if message["type"]!=self.db.MSG_TYPE_CONDITIONNING:
if message["sender"]==self.personality["name"]:
self.full_message_list.append(message["content"])
else:
self.full_message_list.append(self.personality["message_prefix"] + message["content"] + self.personality["message_suffix"])
if len(self.full_message_list) > self.config["nb_messages_to_remember"]:
discussion_messages = self.personality["personality_conditionning"]+ '\n'.join(self.full_message_list[-self.config["nb_messages_to_remember"]:])
else:
discussion_messages = self.personality["personality_conditionning"]+ '\n'.join(self.full_message_list)
return discussion_messages[:-1] # Removes the last return
def new_text_callback(self, text: str):
print(text, end="")
sys.stdout.flush()
self.full_text += text
if self.is_bot_text_started:
self.bot_says += text
self.text_queue.put(text)
#if self.current_message in self.full_text:
if len(self.discussion_messages) < len(self.full_text):
self.is_bot_text_started = True
def generate_message(self):
self.generating=True
self.text_queue=Queue()
gc.collect()
total_n_predict = len(self.discussion_messages)+self.config['n_predict']
self.chatbot_bindings.generate(
self.discussion_messages,
new_text_callback=self.new_text_callback,
n_predict=total_n_predict,
temp=self.config['temp'],
top_k=self.config['top_k'],
top_p=self.config['top_p'],
repeat_penalty=self.config['repeat_penalty'],
repeat_last_n = self.config['repeat_last_n'],
#seed=self.config['seed'],
n_threads=self.config['n_threads']
)
self.generating=False

0
config.py → pyGpt4All/config.py
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2
db.py → pyGpt4All/db.py
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@ -256,7 +256,7 @@ class Discussion:
list: List of entries in the format {"id":message id, "sender":sender name, "content":message content, "type":message type, "rank": message rank}
"""
rows = self.discussions_db.select(
f"SELECT * FROM message WHERE discussion_id={self.discussion_id}"
"SELECT * FROM message WHERE discussion_id=?", (self.discussion_id,)
)
return [{"id": row[0], "sender": row[1], "content": row[2], "type": row[3], "rank": row[4], "parent": row[5]} for row in rows]

0
extension.py → pyGpt4All/extension.py
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13
static/js/chat.js
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@ -60,6 +60,10 @@ function addMessage(sender, message, id, rank = 0, can_edit = false) {
sendbtn.style.display = "none";
waitAnimation.style.display = "block";
// local stuff
let messageTextElement_ = undefined
let hiddenElement_ = undefined
fetch("/run_to", {
method: 'POST',
headers: {
@ -105,10 +109,9 @@ function addMessage(sender, message, id, rank = 0, can_edit = false) {
// We parse it and
infos = JSON.parse(text)
console.log(infos)
addMessage('User', infos.message, infos.id, 0, can_edit = true);
elements = addMessage(infos.sender, '', infos.response_id, 0, can_edit = true);
messageTextElement = elements['messageTextElement'];
hiddenElement = elements['hiddenElement'];
messageTextElement_ = elements['messageTextElement'];
hiddenElement_ = elements['hiddenElement'];
entry_counter++;
}
else {
@ -117,8 +120,8 @@ function addMessage(sender, message, id, rank = 0, can_edit = false) {
txt = hiddenElement.innerHTML;
if (char != '\f') {
txt += char
hiddenElement.innerHTML = txt
messageTextElement.innerHTML = txt.replace(/\n/g, "<br>")
hiddenElement_.innerHTML = txt
messageTextElement_.innerHTML = txt.replace(/\n/g, "<br>")
}
// scroll to bottom of chat window

1
static/js/main.js
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@ -16,6 +16,7 @@ function update_main(){
const waitAnimation = document.querySelector("#wait-animation")
sendbtn.style.display="none";
waitAnimation.style.display="block";
console.log("Sending message to bot")
fetch('/bot', {
method: 'POST',
headers: {