mirror of
https://github.com/ParisNeo/lollms-webui.git
synced 2024-12-19 04:17:52 +00:00
Multimodel is working
This commit is contained in:
parent
0118dc23e4
commit
2b2bbd40af
177
app.py
177
app.py
@ -1,12 +1,11 @@
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import argparse
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import json
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import re
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import sqlite3
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import traceback
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from datetime import datetime
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from concurrent.futures import ThreadPoolExecutor
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import sys
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from db import Discussion, export_to_json, check_discussion_db, last_discussion_has_messages
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from flask import (
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Flask,
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Response,
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@ -14,155 +13,11 @@ from flask import (
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render_template,
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request,
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stream_with_context,
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send_from_directory
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)
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from pyllamacpp.model import Model
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from queue import Queue
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# =================================== Database ==================================================================
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class Discussion:
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def __init__(self, discussion_id, db_path="database.db"):
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self.discussion_id = discussion_id
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self.db_path = db_path
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@staticmethod
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def create_discussion(db_path="database.db", title="untitled"):
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with sqlite3.connect(db_path) as conn:
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cur = conn.cursor()
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cur.execute("INSERT INTO discussion (title) VALUES (?)", (title,))
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discussion_id = cur.lastrowid
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conn.commit()
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return Discussion(discussion_id, db_path)
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@staticmethod
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def get_discussion(db_path="database.db", discussion_id=0):
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return Discussion(discussion_id, db_path)
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def add_message(self, sender, content):
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with sqlite3.connect(self.db_path) as conn:
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cur = conn.cursor()
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cur.execute(
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"INSERT INTO message (sender, content, discussion_id) VALUES (?, ?, ?)",
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(sender, content, self.discussion_id),
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)
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message_id = cur.lastrowid
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conn.commit()
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return message_id
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@staticmethod
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def get_discussions(db_path):
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with sqlite3.connect(db_path) as conn:
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cursor = conn.cursor()
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cursor.execute("SELECT * FROM discussion")
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rows = cursor.fetchall()
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return [{"id": row[0], "title": row[1]} for row in rows]
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@staticmethod
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def rename(db_path, discussion_id, title):
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with sqlite3.connect(db_path) as conn:
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cursor = conn.cursor()
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cursor.execute(
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"UPDATE discussion SET title=? WHERE id=?", (title, discussion_id)
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)
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conn.commit()
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def delete_discussion(self):
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with sqlite3.connect(self.db_path) as conn:
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cur = conn.cursor()
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cur.execute(
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"DELETE FROM message WHERE discussion_id=?", (self.discussion_id,)
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)
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cur.execute("DELETE FROM discussion WHERE id=?", (self.discussion_id,))
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conn.commit()
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def get_messages(self):
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with sqlite3.connect(self.db_path) as conn:
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cur = conn.cursor()
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cur.execute(
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"SELECT * FROM message WHERE discussion_id=?", (self.discussion_id,)
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)
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rows = cur.fetchall()
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return [{"sender": row[1], "content": row[2], "id": row[0]} for row in rows]
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def update_message(self, message_id, new_content):
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with sqlite3.connect(self.db_path) as conn:
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cur = conn.cursor()
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cur.execute(
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"UPDATE message SET content = ? WHERE id = ?", (new_content, message_id)
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)
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conn.commit()
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def remove_discussion(self):
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with sqlite3.connect(self.db_path) as conn:
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conn.cursor().execute(
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"DELETE FROM discussion WHERE id=?", (self.discussion_id,)
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)
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conn.commit()
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def last_discussion_has_messages(db_path="database.db"):
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with sqlite3.connect(db_path) as conn:
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cursor = conn.cursor()
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cursor.execute("SELECT * FROM message ORDER BY id DESC LIMIT 1")
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last_message = cursor.fetchone()
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return last_message is not None
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def export_to_json(db_path="database.db"):
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with sqlite3.connect(db_path) as conn:
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cur = conn.cursor()
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cur.execute("SELECT * FROM discussion")
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discussions = []
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for row in cur.fetchall():
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discussion_id = row[0]
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discussion = {"id": discussion_id, "messages": []}
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cur.execute("SELECT * FROM message WHERE discussion_id=?", (discussion_id,))
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for message_row in cur.fetchall():
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discussion["messages"].append(
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{"sender": message_row[1], "content": message_row[2]}
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)
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discussions.append(discussion)
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return discussions
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def remove_discussions(db_path="database.db"):
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with sqlite3.connect(db_path) as conn:
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cur = conn.cursor()
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cur.execute("DELETE FROM message")
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cur.execute("DELETE FROM discussion")
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conn.commit()
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# create database schema
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def check_discussion_db(db_path):
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print("Checking discussions database...")
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with sqlite3.connect(db_path) as conn:
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cur = conn.cursor()
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cur.execute(
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"""
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CREATE TABLE IF NOT EXISTS discussion (
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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title TEXT
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)
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"""
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)
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cur.execute(
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"""
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CREATE TABLE IF NOT EXISTS message (
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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sender TEXT NOT NULL,
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content TEXT NOT NULL,
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discussion_id INTEGER NOT NULL,
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FOREIGN KEY (discussion_id) REFERENCES discussion(id)
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)
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"""
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)
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conn.commit()
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print("Ok")
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# ========================================================================================================================
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from pathlib import Path
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app = Flask("GPT4All-WebUI", static_url_path="/static", static_folder="static")
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@ -174,8 +29,11 @@ class Gpt4AllWebUI:
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self.app = _app
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self.db_path = args.db_path
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# This is the queue used to stream text to the ui as the bot spits out its response
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self.text_queue = Queue(0)
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self.add_endpoint("/", "", self.index, methods=["GET"])
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self.add_endpoint("/export", "export", self.export, methods=["GET"])
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self.add_endpoint(
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@ -203,9 +61,21 @@ class Gpt4AllWebUI:
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"/update_model_params", "update_model_params", self.update_model_params, methods=["POST"]
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)
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self.add_endpoint(
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"/list_models", "list_models", self.list_models, methods=["GET"]
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)
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self.add_endpoint(
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"/get_args", "get_args", self.get_args, methods=["GET"]
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)
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self.prepare_a_new_chatbot()
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def list_models(self):
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models_dir = Path('./models') # replace with the actual path to the models folder
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models = [f.name for f in models_dir.glob('*.bin')]
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return jsonify(models)
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def prepare_a_new_chatbot(self):
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# Create chatbot
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@ -463,7 +333,12 @@ GPT4All:Welcome! I'm here to assist you with anything you need. What can I do fo
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def update_model_params(self):
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data = request.get_json()
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self.args.model = str(data["model"])
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model = str(data["model"])
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if self.args.model != model:
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print("New model selected")
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self.args.model = model
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self.prepare_a_new_chatbot()
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self.args.n_predict = int(data["nPredict"])
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self.args.seed = int(data["seed"])
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@ -484,6 +359,10 @@ GPT4All:Welcome! I'm here to assist you with anything you need. What can I do fo
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return jsonify({"status":"ok"})
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def get_args(self):
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return jsonify(self.args)
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if __name__ == "__main__":
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parser = argparse.ArgumentParser(description="Start the chatbot Flask app.")
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parser.add_argument(
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146
db.py
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146
db.py
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@ -0,0 +1,146 @@
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import sqlite3
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# =================================== Database ==================================================================
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class Discussion:
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def __init__(self, discussion_id, db_path="database.db"):
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self.discussion_id = discussion_id
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self.db_path = db_path
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@staticmethod
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def create_discussion(db_path="database.db", title="untitled"):
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with sqlite3.connect(db_path) as conn:
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cur = conn.cursor()
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cur.execute("INSERT INTO discussion (title) VALUES (?)", (title,))
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discussion_id = cur.lastrowid
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conn.commit()
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return Discussion(discussion_id, db_path)
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@staticmethod
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def get_discussion(db_path="database.db", discussion_id=0):
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return Discussion(discussion_id, db_path)
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def add_message(self, sender, content):
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with sqlite3.connect(self.db_path) as conn:
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cur = conn.cursor()
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cur.execute(
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"INSERT INTO message (sender, content, discussion_id) VALUES (?, ?, ?)",
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(sender, content, self.discussion_id),
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)
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message_id = cur.lastrowid
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conn.commit()
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return message_id
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@staticmethod
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def get_discussions(db_path):
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with sqlite3.connect(db_path) as conn:
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cursor = conn.cursor()
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cursor.execute("SELECT * FROM discussion")
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rows = cursor.fetchall()
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return [{"id": row[0], "title": row[1]} for row in rows]
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@staticmethod
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def rename(db_path, discussion_id, title):
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with sqlite3.connect(db_path) as conn:
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cursor = conn.cursor()
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cursor.execute(
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"UPDATE discussion SET title=? WHERE id=?", (title, discussion_id)
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)
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conn.commit()
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def delete_discussion(self):
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with sqlite3.connect(self.db_path) as conn:
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cur = conn.cursor()
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cur.execute(
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"DELETE FROM message WHERE discussion_id=?", (self.discussion_id,)
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)
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cur.execute("DELETE FROM discussion WHERE id=?", (self.discussion_id,))
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conn.commit()
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def get_messages(self):
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with sqlite3.connect(self.db_path) as conn:
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cur = conn.cursor()
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cur.execute(
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"SELECT * FROM message WHERE discussion_id=?", (self.discussion_id,)
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)
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rows = cur.fetchall()
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return [{"sender": row[1], "content": row[2], "id": row[0]} for row in rows]
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def update_message(self, message_id, new_content):
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with sqlite3.connect(self.db_path) as conn:
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cur = conn.cursor()
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cur.execute(
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"UPDATE message SET content = ? WHERE id = ?", (new_content, message_id)
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)
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conn.commit()
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def remove_discussion(self):
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with sqlite3.connect(self.db_path) as conn:
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conn.cursor().execute(
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"DELETE FROM discussion WHERE id=?", (self.discussion_id,)
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)
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conn.commit()
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def last_discussion_has_messages(db_path="database.db"):
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with sqlite3.connect(db_path) as conn:
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cursor = conn.cursor()
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cursor.execute("SELECT * FROM message ORDER BY id DESC LIMIT 1")
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last_message = cursor.fetchone()
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return last_message is not None
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def export_to_json(db_path="database.db"):
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with sqlite3.connect(db_path) as conn:
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cur = conn.cursor()
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cur.execute("SELECT * FROM discussion")
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discussions = []
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for row in cur.fetchall():
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discussion_id = row[0]
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discussion = {"id": discussion_id, "messages": []}
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cur.execute("SELECT * FROM message WHERE discussion_id=?", (discussion_id,))
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for message_row in cur.fetchall():
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discussion["messages"].append(
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{"sender": message_row[1], "content": message_row[2]}
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)
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discussions.append(discussion)
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return discussions
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def remove_discussions(db_path="database.db"):
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with sqlite3.connect(db_path) as conn:
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cur = conn.cursor()
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cur.execute("DELETE FROM message")
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cur.execute("DELETE FROM discussion")
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conn.commit()
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# create database schema
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def check_discussion_db(db_path):
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print("Checking discussions database...")
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with sqlite3.connect(db_path) as conn:
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cur = conn.cursor()
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cur.execute(
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"""
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CREATE TABLE IF NOT EXISTS discussion (
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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title TEXT
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)
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"""
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)
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cur.execute(
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"""
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CREATE TABLE IF NOT EXISTS message (
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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sender TEXT NOT NULL,
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content TEXT NOT NULL,
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discussion_id INTEGER NOT NULL,
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FOREIGN KEY (discussion_id) REFERENCES discussion(id)
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)
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"""
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)
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conn.commit()
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print("Ok")
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# ========================================================================================================================
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@ -1,3 +1,36 @@
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function populate_models(){
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// Get a reference to the <select> element
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const selectElement = document.getElementById('model');
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// Fetch the list of .bin files from the models subfolder
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fetch('/list_models')
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.then(response => response.json())
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.then(data => {
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if (Array.isArray(data)) {
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// data is an array
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const selectElement = document.getElementById('model');
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data.forEach(filename => {
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const optionElement = document.createElement('option');
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optionElement.value = filename;
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optionElement.textContent = filename;
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selectElement.appendChild(optionElement);
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});
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// fetch('/get_args')
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// .then(response=> response.json())
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// .then(data=>{
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// })
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} else {
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console.error('Expected an array, but received:', data);
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}
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});
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}
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populate_models()
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const submitButton = document.getElementById('submit-model-params');
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submitButton.addEventListener('click', (event) => {
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<form id="model-params-form" class="bg-white shadow-md rounded px-8 pt-6 pb-8 mb-4">
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<div class="mb-4">
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<label class="block text-gray-700 font-bold mb-2" for="model">Model</label>
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<input class="bg-gray-700 shadow appearance-none border rounded w-full py-2 px-3 text-gray-700 leading-tight focus:outline-none focus:shadow-outline" id="model" type="text" name="model" value="gpt4all-lora-quantized.bin">
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<select class="bg-gray-700 shadow appearance-none border rounded w-full py-2 px-3 text-gray-700 leading-tight focus:outline-none focus:shadow-outline" id="model" name="model" value="gpt4all-lora-quantized.bin">
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</select>
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</div>
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<div class="mb-4">
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<label class="block text-gray-700 font-bold mb-2" for="seed">Seed</label>
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Block a user