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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, uri):
# Initialize the uri attribute
self.uri = uri
# 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 |