792 lines
26 KiB
Python
792 lines
26 KiB
Python
from flask import Flask, render_template, request, send_from_directory
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from flask_socketio import SocketIO, emit, join_room
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import eventlet
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from openai import OpenAI
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import os
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import time
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import boto3
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import json
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from flask_sqlalchemy import SQLAlchemy
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app = Flask(__name__)
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app.config["SECRET_KEY"] = "your_secret_key"
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app.config["SQLALCHEMY_DATABASE_URI"] = "sqlite:///chat.db"
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app.config["SQLALCHEMY_TRACK_MODIFICATIONS"] = False
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db = SQLAlchemy(app)
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socketio = SocketIO(app, async_mode="eventlet")
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# Global dictionary to keep track of cancellation requests
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cancellation_requests = {}
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class Room(db.Model):
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id = db.Column(db.Integer, primary_key=True)
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name = db.Column(db.String(128), nullable=False, unique=True)
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title = db.Column(
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db.String(128), nullable=True
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) # Initially, there might be no title
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class Message(db.Model):
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id = db.Column(db.Integer, primary_key=True)
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username = db.Column(db.String(128), nullable=False)
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content = db.Column(db.String(1024), nullable=False)
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room_id = db.Column(db.Integer, db.ForeignKey("room.id"), nullable=False)
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def __init__(self, username, content, room_id):
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self.username = username
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self.content = content
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self.room_id = room_id
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def get_room(room_name):
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"""Utility function to get room from room name."""
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room = Room.query.filter_by(name=room_name).first()
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if room:
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return room
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else:
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# Create a new room since it doesn't exist
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new_room = Room(name=room_name)
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db.session.add(new_room)
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db.session.commit()
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return new_room
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from flask_migrate import Migrate
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migrate = Migrate(app, db)
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@app.route("/favicon.ico")
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def favicon():
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return send_from_directory(os.path.join(app.root_path, "static"), "favicon.ico")
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@app.route("/")
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def index():
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return render_template("index.html")
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@app.route("/chat/<room_name>")
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def chat(room_name):
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# Query all rooms so that newest is first.
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rooms = Room.query.order_by(Room.id.desc()).all()
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# Get username from query parameters
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username = request.args.get("username", "guest")
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# Pass username and rooms into the template
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return render_template(
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"chat.html", room_name=room_name, rooms=rooms, username=username
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)
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@socketio.on("join")
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def on_join(data):
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room_name = data["room_name"]
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room = get_room(room_name)
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# this makes the client start listening for new events for this room.
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join_room(room_name)
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# update the title bar with the proper room title, if it exists for just this new client.
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if room.title:
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socketio.emit("update_room_title", {"title": room.title}, room=request.sid)
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# Fetch previous messages from the database
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previous_messages = Message.query.filter_by(room_id=room.id).all()
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# Send the history of messages only to the newly connected client.
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# The reason for using `request.sid` here is to target the specific session (or client) that
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# just connected, so only they receive the backlog of messages, rather than broadcasting
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# this information to all clients in the room.
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for message in previous_messages:
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emit(
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"previous_messages",
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{
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"id": message.id,
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"username": message.username,
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"message": message.content,
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},
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room=request.sid,
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)
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message_count = len(previous_messages)
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if room.title is None and message_count >= 6:
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room.title = gpt_generate_room_title(previous_messages, "gpt-4-1106-preview")
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db.session.add(room)
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db.session.commit()
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socketio.emit("update_room_title", {"title": room.title}, room=room.name)
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# Emit an event to update this rooms title in the sidebar for all users.
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updated_room_data = {"id": room.id, "name": room.name, "title": room.title}
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socketio.emit("update_room_list", updated_room_data, room=None)
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# Broadcast to all clients in the room that a new user has joined.
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# Here, `room=room` ensures the message is sent to everyone in that specific room.
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emit(
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"message",
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{"id": None, "content": f"{data['username']} has joined the room."},
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room=room.name,
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)
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def find_most_recent_code_block(room_name):
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with app.app_context():
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# Get the room object from the database
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room = get_room(room_name)
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if not room:
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return None # Room not found
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# Get the most recent message for the room
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latest_message = (
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Message.query.filter_by(room_id=room.id)
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.order_by(Message.id.desc())
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.offset(1)
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.first()
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)
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if latest_message:
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# Split the message content into lines
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lines = latest_message.content.split("\n")
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# Initialize variables to store the code block
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code_block_lines = []
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code_block_started = False
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for line in lines:
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# Check if the line starts with a code block fence
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if line.startswith("```"):
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# If we've already started capturing, this fence ends the block
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if code_block_started:
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break
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else:
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# Start capturing from the next line
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code_block_started = True
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continue
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elif code_block_started:
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# If we're inside a code block, capture the line
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code_block_lines.append(line)
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# Join the captured lines to form the code block content
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code_block_content = "\n".join(code_block_lines)
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return code_block_content
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# No code block found in the latest message
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return None
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def save_code_block_to_s3(room_name, s3_key_path, username):
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# Initialize the S3 client
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s3_client = boto3.client("s3")
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# Assuming the bucket name is set in an environment variable
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bucket_name = os.environ.get("S3_BUCKET_NAME")
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# Find the most recent code block
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code_block_content = find_most_recent_code_block(room_name)
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# Initialize a variable to hold the message content
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message_content = ""
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if code_block_content:
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try:
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# Save the code block content to S3
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s3_client.put_object(
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Bucket=bucket_name, Key=s3_key_path, Body=code_block_content
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)
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# Set the success message content
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message_content = f"Code block saved to S3 at {s3_key_path}"
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except Exception as e:
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# Set the error message content if S3 save fails
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message_content = f"Error saving file to S3: {e}"
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else:
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# Set the error message content if no code block is found
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message_content = "No code block found to save to S3."
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# Save the message to the database and emit to the frontend
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with app.app_context():
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# Get the room object from the database
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room = get_room(room_name)
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if room:
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# Create a new message object
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new_message = Message(
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username=username, content=message_content, room_id=room.id
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)
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# Add the new message to the session and commit
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db.session.add(new_message)
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db.session.commit()
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# Emit the message to the frontend with the new message ID
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socketio.emit(
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"message",
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{
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"id": new_message.id,
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"username": username,
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"content": message_content,
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},
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room=room_name,
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)
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def load_s3_file(room_name, s3_file_path, username):
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# Initialize the S3 client
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s3_client = boto3.client("s3")
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# Assuming the bucket name is set in an environment variable
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bucket_name = os.environ.get("S3_BUCKET_NAME")
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# Initialize message content variable
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message_content = ""
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try:
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# Retrieve the file content from S3
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response = s3_client.get_object(Bucket=bucket_name, Key=s3_file_path)
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file_content = response["Body"].read().decode("utf-8")
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# Format the file content as a code block
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message_content = f"```\n{file_content}\n```"
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except Exception as e:
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# Handle errors (e.g., file not found, access denied)
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message_content = f"Error loading file from S3: {e}"
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# Save the message to the database and emit to the chatroom
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with app.app_context():
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room = get_room(room_name)
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new_message = Message(
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username=username,
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content=message_content,
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room_id=room.id,
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)
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db.session.add(new_message)
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db.session.commit()
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# Emit the message to the chatroom with the message ID
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socketio.emit(
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"message",
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{
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"id": new_message.id,
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"username": username,
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"content": message_content,
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},
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room=room_name,
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)
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def list_s3_files(room_name, s3_file_path_pattern, username):
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import fnmatch
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from datetime import timezone
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# Initialize the S3 client
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s3_client = boto3.client("s3")
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# Assuming the bucket name is set in an environment variable
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bucket_name = os.environ.get("S3_BUCKET_NAME")
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# Initialize the list to hold all file information
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files = []
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# Initialize the pagination token
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continuation_token = None
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# Loop to handle pagination
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while True:
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# List objects in the S3 bucket with pagination support
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list_kwargs = {
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"Bucket": bucket_name,
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}
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if continuation_token:
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list_kwargs["ContinuationToken"] = continuation_token
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response = s3_client.list_objects_v2(**list_kwargs)
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# Process the current page of results
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for obj in response.get("Contents", []):
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key = obj["Key"]
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if s3_file_path_pattern == "*" or fnmatch.fnmatch(
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key, s3_file_path_pattern
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):
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size = obj["Size"]
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last_modified = obj["LastModified"]
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# Convert last_modified to a timezone-aware datetime object
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last_modified = (
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last_modified.replace(tzinfo=timezone.utc)
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.astimezone(tz=None)
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.strftime("%Y-%m-%d %H:%M:%S %Z")
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)
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files.append(
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f"{key} (Size: {size} bytes, Last Modified: {last_modified})"
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)
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# Check if there are more pages
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if response.get("IsTruncated"):
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continuation_token = response.get("NextContinuationToken")
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else:
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break # No more pages
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# Format the message content with the list of files and metadata
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message_content = (
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"```\n" + "\n".join(files) + "\n```" if files else "No files found."
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)
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# Save the message to the database and emit to the chatroom
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with app.app_context():
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room = Room.query.filter_by(name=room_name).first()
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if room:
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new_message = Message(
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username=username,
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content=message_content,
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room_id=room.id,
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)
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db.session.add(new_message)
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db.session.commit()
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# Emit the message to the chatroom with the message ID
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socketio.emit(
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"message",
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{
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"id": new_message.id,
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"username": username,
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"content": message_content,
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},
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room=room_name,
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)
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def cancel_generation(room_name, username):
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with app.app_context():
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room = get_room(room_name)
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# Get the most recent message for the room that is being generated
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latest_message = (
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Message.query.filter_by(room_id=room.id)
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.order_by(Message.id.desc())
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.offset(1)
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.first()
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)
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if latest_message:
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# Set the cancellation request for the given message ID
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cancellation_requests[latest_message.id] = True
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# Optionally, inform the user that the generation has been canceled
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socketio.emit(
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"message",
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{
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"id": None,
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"username": "System",
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"content": f"Generation for message ID {latest_message.id} has been canceled.",
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},
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room=room_name,
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)
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@socketio.on("message")
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def handle_message(data):
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room_name = data["room_name"]
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room = get_room(room_name)
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# Save the message to the database
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new_message = Message(
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username=data["username"],
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content=data["message"],
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room_id=room.id,
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)
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db.session.add(new_message)
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db.session.commit()
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emit(
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"message",
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{
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"id": new_message.id,
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"username": data["username"],
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"content": data["message"],
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},
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room=room.name,
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)
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# detect and process special commands.
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commands = data["message"].splitlines()
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for command in commands:
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if command.startswith("/s3 ls"):
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# Extract the S3 file path pattern
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s3_file_path_pattern = command.split(" ", 2)[2]
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# List files from S3 and emit their names
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eventlet.spawn(
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list_s3_files, room.name, s3_file_path_pattern, data["username"]
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)
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if command.startswith("/s3 load"):
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# Extract the S3 file path
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s3_file_path = command.split(" ", 2)[2]
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# Load the file from S3 and emit its content
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eventlet.spawn(load_s3_file, room_name, s3_file_path, data["username"])
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if command.startswith("/s3 save"):
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# Extract the S3 key path
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s3_key_path = command.split(" ", 2)[2]
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# Save the most recent code block to S3
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eventlet.spawn(
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save_code_block_to_s3, room_name, s3_key_path, data["username"]
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)
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if command.startswith("/title new"):
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eventlet.spawn(generate_new_title, room_name, data["username"])
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if command.startswith("/cancel"):
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# Cancel the most recent generation request
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eventlet.spawn(cancel_generation, room_name, data["username"])
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if (
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"claude-v1" in data["message"]
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or "claude-v2" in data["message"]
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or "gpt-3" in data["message"]
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or "gpt-4" in data["message"]
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):
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# Emit a temporary message indicating that llm is processing
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emit(
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"message",
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{"id": None, "content": f"<span id='processing'>Processing...</span>"},
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room=room.name,
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)
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if "claude-v1" in data["message"]:
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eventlet.spawn(chat_claude, data["username"], room.name, data["message"])
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if "claude-v2" in data["message"]:
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eventlet.spawn(
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chat_claude,
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data["username"],
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room.name,
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data["message"],
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model_name="anthropic.claude-v2",
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)
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if "gpt-3" in data["message"]:
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eventlet.spawn(chat_gpt, data["username"], room.name, data["message"])
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if "gpt-4" in data["message"]:
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eventlet.spawn(
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chat_gpt,
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data["username"],
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room.name,
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data["message"],
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model_name="gpt-4-1106-preview",
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)
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@socketio.on("delete_message")
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def handle_delete_message(data):
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msg_id = data["message_id"]
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# Delete the message from the database
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message = db.session.query(Message).filter(Message.id == msg_id).one_or_none()
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if message:
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db.session.delete(message)
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db.session.commit()
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# Notify all clients in the room to remove the message from their DOM
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emit("message_deleted", {"message_id": msg_id}, room=data["room_name"])
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def chat_claude(username, room_name, message, model_name="anthropic.claude-v1"):
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with app.app_context():
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room = get_room(room_name)
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# claude has a 100,000 token context window for prompts.
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all_messages = (
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Message.query.filter_by(room_id=room.id).order_by(Message.id.desc()).all()
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)
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chat_history = ""
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for msg in reversed(all_messages):
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if msg.username in [
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"gpt-3.5-turbo",
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"anthropic.claude-v1",
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"anthropic.claude-v2",
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"gpt-4",
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"gpt-4-1106-preview",
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]:
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chat_history += f"Assistant: {msg.username}: {msg.content}\n\n"
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else:
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chat_history += f"Human: {msg.username}: {msg.content}\n\n"
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# append the new message.
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chat_history += f"Human: {username}: {message}\n\nAssistant: {model_name}: "
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# Initialize the Bedrock client using boto3 and profile name.
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if app.config.get("PROFILE_NAME"):
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session = boto3.Session(profile_name=app.config["PROFILE_NAME"])
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client = session.client("bedrock-runtime", region_name="us-east-1")
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else:
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client = boto3.client("bedrock-runtime", region_name="us-east-1")
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# Define the request parameters
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params = {
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"modelId": model_name,
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"contentType": "application/json",
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"accept": "*/*",
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"body": json.dumps(
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{
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"prompt": chat_history,
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"max_tokens_to_sample": 2048,
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"temperature": 0,
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"top_k": 250,
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"top_p": 0.999,
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"stop_sequences": ["\n\nHuman:"],
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|
"anthropic_version": "bedrock-2023-05-31",
|
|
}
|
|
).encode(),
|
|
}
|
|
|
|
# Invoke the model with response stream
|
|
response = client.invoke_model_with_response_stream(**params)
|
|
|
|
# Process the event stream
|
|
buffer = ""
|
|
|
|
# save empty message, we need the ID when we chunk the response.
|
|
with app.app_context():
|
|
new_message = Message(username=model_name, content=buffer, room_id=room.id)
|
|
db.session.add(new_message)
|
|
db.session.commit()
|
|
msg_id = new_message.id
|
|
|
|
cancellation_requests[msg_id] = False
|
|
|
|
first_chunk = True
|
|
for event in response["body"]:
|
|
content = ""
|
|
|
|
# Check if there has been a cancellation request, break if there is.
|
|
if cancellation_requests.get(msg_id):
|
|
del cancellation_requests[msg_id]
|
|
break
|
|
|
|
if "chunk" in event:
|
|
chunk_data = json.loads(event["chunk"]["bytes"].decode())
|
|
content = chunk_data["completion"]
|
|
|
|
if content:
|
|
buffer += content # Accumulate content
|
|
|
|
if first_chunk:
|
|
socketio.emit(
|
|
"message_chunk",
|
|
{
|
|
"id": msg_id,
|
|
"content": f"**{username} ({model_name}):**\n\n{content}",
|
|
},
|
|
room=room.name,
|
|
)
|
|
first_chunk = False
|
|
else:
|
|
socketio.emit(
|
|
"message_chunk",
|
|
{"id": msg_id, "content": content},
|
|
room=room.name,
|
|
)
|
|
socketio.sleep(0) # Force immediate handling
|
|
|
|
# Save the entire completion to the database
|
|
with app.app_context():
|
|
new_message = (
|
|
db.session.query(Message).filter(Message.id == msg_id).one_or_none()
|
|
)
|
|
if new_message:
|
|
new_message.content = buffer
|
|
db.session.add(new_message)
|
|
db.session.commit()
|
|
|
|
socketio.emit("delete_processing_message", msg_id, room=room.name)
|
|
|
|
|
|
def chat_gpt(username, room_name, message, model_name="gpt-3.5-turbo"):
|
|
openai_client = OpenAI()
|
|
limit = 15
|
|
if model_name == "gpt-4-1106-preview":
|
|
limit = 1000
|
|
|
|
with app.app_context():
|
|
room = get_room(room_name)
|
|
last_messages = (
|
|
Message.query.filter_by(room_id=room.id)
|
|
.order_by(Message.id.desc())
|
|
.limit(limit)
|
|
.all()
|
|
)
|
|
if room.title is None and len(last_messages) >= 5:
|
|
room.title = gpt_generate_room_title(last_messages, model_name)
|
|
db.session.add(room)
|
|
db.session.commit()
|
|
socketio.emit("update_room_title", {"title": room.title}, room=room.name)
|
|
# Emit an event to update this rooms title in the sidebar for all users.
|
|
updated_room_data = {"id": room.id, "name": room.name, "title": room.title}
|
|
socketio.emit("update_room_list", updated_room_data, room=None)
|
|
|
|
chat_history = [
|
|
{
|
|
"role": "system"
|
|
if (
|
|
msg.username == "gpt-3.5-turbo"
|
|
or msg.username == "anthropic.claude-v1"
|
|
or msg.username == "anthropic.claude-v2"
|
|
or msg.username == "gpt-4"
|
|
or msg.username == "gpt-4-1106-preview"
|
|
)
|
|
else "user",
|
|
"content": f"{msg.username}: {msg.content}",
|
|
}
|
|
for msg in reversed(last_messages)
|
|
]
|
|
|
|
chat_history.append({"role": "user", "content": f"{message}\n\n{model_name}: "})
|
|
|
|
buffer = "" # Content buffer for accumulating the chunks
|
|
|
|
# save empty message, we need the ID when we chunk the response.
|
|
with app.app_context():
|
|
new_message = Message(username=model_name, content=buffer, room_id=room.id)
|
|
db.session.add(new_message)
|
|
db.session.commit()
|
|
msg_id = new_message.id
|
|
|
|
cancellation_requests[msg_id] = False
|
|
|
|
first_chunk = True
|
|
for chunk in openai_client.chat.completions.create(
|
|
model=model_name, messages=chat_history, temperature=0, stream=True
|
|
):
|
|
# Check if there has been a cancellation request, break if there is.
|
|
if cancellation_requests.get(msg_id):
|
|
del cancellation_requests[msg_id]
|
|
break
|
|
|
|
content = chunk.choices[0].delta.content
|
|
|
|
if content:
|
|
buffer += content # Accumulate content
|
|
|
|
if first_chunk:
|
|
socketio.emit(
|
|
"message_chunk",
|
|
{
|
|
"id": msg_id,
|
|
"content": f"**{username} ({model_name}):**\n\n{content}",
|
|
},
|
|
room=room.name,
|
|
)
|
|
first_chunk = False
|
|
else:
|
|
socketio.emit(
|
|
"message_chunk",
|
|
{"id": msg_id, "content": content},
|
|
room=room.name,
|
|
)
|
|
socketio.sleep(0) # Force immediate handling
|
|
|
|
# Save the entire completion to the database
|
|
with app.app_context():
|
|
new_message = (
|
|
db.session.query(Message).filter(Message.id == msg_id).one_or_none()
|
|
)
|
|
if new_message:
|
|
new_message.content = buffer
|
|
db.session.add(new_message)
|
|
db.session.commit()
|
|
|
|
socketio.emit("delete_processing_message", msg_id, room=room.name)
|
|
|
|
|
|
def gpt_generate_room_title(messages, model_name):
|
|
"""
|
|
Generate a title for the room based on a list of messages.
|
|
"""
|
|
openai_client = OpenAI()
|
|
chat_history = [
|
|
{
|
|
"role": "system"
|
|
if (
|
|
msg.username == "gpt-3.5-turbo"
|
|
or msg.username == "anthropic.claude-v1"
|
|
or msg.username == "anthropic.claude-v2"
|
|
or msg.username == "gpt-4"
|
|
or msg.username == "gpt-4-1106-preview"
|
|
)
|
|
else "user",
|
|
"content": f"{msg.username}: {msg.content}",
|
|
}
|
|
for msg in reversed(messages)
|
|
]
|
|
|
|
chat_history.append(
|
|
{
|
|
"role": "system",
|
|
"content": "return a short title for the title bar of this conversation.",
|
|
}
|
|
)
|
|
|
|
# Interaction with LLM to generate summary
|
|
# For example, using OpenAI's GPT model
|
|
response = openai_client.chat.completions.create(
|
|
messages=chat_history,
|
|
model=model_name, # or any appropriate model
|
|
max_tokens=20,
|
|
)
|
|
|
|
title = response.choices[0].message.content
|
|
return title.replace('"', "")
|
|
|
|
|
|
def generate_new_title(room_name, username):
|
|
with app.app_context():
|
|
room = get_room(room_name)
|
|
# Get the last few messages to generate a title
|
|
last_messages = (
|
|
Message.query.filter_by(room_id=room.id)
|
|
.order_by(Message.id.desc())
|
|
.limit(10) # Adjust the limit as needed
|
|
.all()
|
|
)
|
|
|
|
# Generate the title using the messages
|
|
new_title = gpt_generate_room_title(last_messages, "gpt-4-1106-preview")
|
|
|
|
# Update the room title in the database
|
|
room.title = new_title
|
|
db.session.add(room)
|
|
db.session.commit()
|
|
|
|
# Emit the new title to the room.
|
|
socketio.emit("update_room_title", {"title": new_title}, room=room_name)
|
|
|
|
# Emit an event to update this rooms title in the sidebar for all users.
|
|
updated_room_data = {"id": room.id, "name": room.name, "title": room.title}
|
|
socketio.emit("update_room_list", updated_room_data, room=None)
|
|
|
|
# Optionally, send a confirmation message to the room
|
|
confirmation_message = f"New title created: {new_title}"
|
|
new_message = Message(
|
|
username=username, content=confirmation_message, room_id=room.id
|
|
)
|
|
db.session.add(new_message)
|
|
db.session.commit()
|
|
socketio.emit(
|
|
"message",
|
|
{
|
|
"id": new_message.id,
|
|
"username": username,
|
|
"content": confirmation_message,
|
|
},
|
|
room=room_name,
|
|
)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
import argparse
|
|
|
|
parser = argparse.ArgumentParser()
|
|
parser.add_argument("--profile", help="AWS profile name", default=None)
|
|
args = parser.parse_args()
|
|
|
|
# Set profile_name as a global attribute of the app object
|
|
app.config["PROFILE_NAME"] = args.profile
|
|
|
|
socketio.run(app, host="0.0.0.0", port=5001)
|