import asyncio import websockets import threading import sqlite3 import streamlit as st from PyCharacterAI import Client # Define the websocket client class class WebSocketClient2: def __init__(self, clientPort): self.uri = f'ws://localhost:{clientPort}' if "tokenChar" not in st.session_state: st.session_state.tokenChar = "" if "character_ID" not in st.session_state: st.session_state.character_ID = "" # Define a function that will run the client in a separate thread def run(self): # Create a thread object self.thread = threading.Thread(target=self.run_client) # Start the thread self.thread.start() # Define a function that will run the client using asyncio def run_client(self): # Get the asyncio event loop loop = asyncio.new_event_loop() # Set the event loop as the current one asyncio.set_event_loop(loop) # Run the client until it is stopped loop.run_until_complete(self.client()) # Define a coroutine that will connect to the server and exchange messages async def startClient(self): status = st.sidebar.status(label="runs", state="complete", expanded=False) client = Client() await client.authenticate_with_token(st.session_state.tokenChar) chat = await client.create_or_continue_chat(st.session_state.character_ID) # Connect to the server async with websockets.connect(self.uri) as websocket: # Loop forever while True: status.update(label="runs", state="running", expanded=True) # Listen for messages from the server input_message = await websocket.recv() print(f"Server: {input_message}") input_Msg = st.chat_message("assistant") input_Msg.markdown(input_message) try: answer = await chat.send_message(input_message) response = f"{answer.src_character_name}: {answer.text}" print(response) outputMsg1 = st.chat_message("ai") outputMsg1.markdown(response) await websocket.send(response) status.update(label="runs", state="complete", expanded=True) continue except websockets.ConnectionClosed: print("client disconnected") continue except Exception as e: print(f"Error: {e}") continue