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| import requests | |
| import datetime | |
| import http.server | |
| import websockets | |
| import websocket | |
| import asyncio | |
| import sqlite3 | |
| import json | |
| import gradio as gr | |
| from gradio_client import Client | |
| import time | |
| client_messages = [] | |
| server_responses = [] | |
| messages = [] | |
| used_ports = [] | |
| websocket_server = None | |
| stop = asyncio.Future() | |
| # Global variables to store references to the textboxes | |
| messageTextbox = None | |
| serverMessageTextbox = None | |
| # Set up the HTTP server | |
| class SimpleHTTPRequestHandler(http.server.SimpleHTTPRequestHandler): | |
| def do_GET(self): | |
| if self.path == '/': | |
| self.send_response(200) | |
| self.send_header('Content-type', 'text/html') | |
| self.end_headers() | |
| with open('index.html', 'rb') as file: | |
| self.wfile.write(file.read()) | |
| else: | |
| self.send_response(404) | |
| self.end_headers() | |
| # Set up the SQLite database | |
| db = sqlite3.connect('chat-hub.db') | |
| cursor = db.cursor() | |
| cursor.execute('CREATE TABLE IF NOT EXISTS messages (id INTEGER PRIMARY KEY AUTOINCREMENT, sender TEXT, message TEXT, timestamp TEXT)') | |
| db.commit() | |
| # Define the function for sending an error message | |
| def sendErrorMessage(ws, errorMessage): | |
| errorResponse = {'error': errorMessage} | |
| ws.send(json.dumps(errorResponse)) | |
| # Function to send a question to the chatbot and get the response | |
| async def askQuestion(question): | |
| try: | |
| response = requests.post( | |
| "https://flowiseai-flowise.hf.space/api/v1/prediction/522afa32-484c-471e-9ba5-4d6d2edfb89b", | |
| headers={"Content-Type": "application/json"}, | |
| json={"question": message}, | |
| ) | |
| response_content = response.content.decode('utf-8') | |
| return response_content | |
| except Exception as e: | |
| print(e) | |
| async def listen_for_messages(): | |
| while True: | |
| if len(client_messages) > 0: | |
| # Get the latest client message | |
| client_message = client_messages[-1] | |
| try: | |
| server_message = server_responses[-1] | |
| except IndexError: | |
| # Handle the case when there are no server responses yet | |
| server_message = "connected successfully" | |
| return client_message, server_message | |
| else: | |
| # Handle the case when there are no client messages yet | |
| client_message = "connected successfully" | |
| server_message = "connected successfully" | |
| return client_message, server_message | |
| async def handleWebSocket(ws): | |
| print('New connection') | |
| await ws.send('Hello! You are now entering a chat room for AI agents working as instances of NeuralGPT. Keep in mind that you are speaking with another chatbot') | |
| while True: | |
| message = await ws.recv() | |
| message_copy = message | |
| client_messages.append(message_copy) | |
| print(f'Received message: {message}') | |
| parsedMessage = json.loads(message) | |
| messageText = message | |
| messages.append(message) | |
| timestamp = datetime.datetime.now().isoformat() | |
| sender = 'client' | |
| db = sqlite3.connect('chat-hub.db') | |
| db.execute('INSERT INTO messages (sender, message, timestamp) VALUES (?, ?, ?)', | |
| (sender, messageText, timestamp)) | |
| db.commit() | |
| try: | |
| message = messages[-1] | |
| answer = await askQuestion(message) # Use the message directly | |
| response = {'answer': answer} | |
| serverMessageText = response.get('answer', '') | |
| await ws.send(json.dumps(response)) | |
| # Append the server response to the server_responses list | |
| server_responses.append(serverMessageText) | |
| serverSender = 'server' | |
| db.execute('INSERT INTO messages (sender, message, timestamp) VALUES (?, ?, ?)', | |
| (serverSender, serverMessageText, timestamp)) | |
| db.commit() | |
| except websockets.exceptions.ConnectionClosedError as e: | |
| print(f"Connection closed: {e}") | |
| except Exception as e: | |
| print(f"Error: {e}") | |
| # Function to stop the WebSocket server | |
| def stop_websockets(): | |
| global websocket_server | |
| if websocket_server: | |
| cursor.close() | |
| db.close() | |
| websocket_server.close() | |
| print("WebSocket server stopped.") | |
| else: | |
| print("WebSocket server is not running.") | |
| # Start the WebSocket server | |
| async def start_websockets(websocketPort): | |
| global messageTextbox, serverMessageTextbox, websocket_server | |
| # Create a WebSocket client that connects to the server | |
| await(websockets.serve(handleWebSocket, 'localhost', websocketPort)) | |
| used_ports.append(websocketPort) | |
| print(f"Starting WebSocket server on port {websocketPort}...") | |
| return "Used ports:\n" + '\n'.join(map(str, used_ports)) | |
| with gr.Blocks() as demo: | |
| with gr.Column(scale=1, min_width=600): | |
| with gr.Row(): | |
| # Use the client_messages list to update the messageTextbox | |
| client_message = gr.Textbox(lines=15, max_lines=130, label="Client inputs") | |
| # Use the server_responses list to update the serverMessageTextbox | |
| server_message = gr.Textbox(lines=15, max_lines=130, label="Server responses") | |
| with gr.Row(): | |
| websocketPort = gr.Slider(minimum=1000, maximum=9999, label="Websocket server port", interactive=True, randomize=False) | |
| startWebsockets = gr.Button("Start WebSocket Server") | |
| stopWebsockets = gr.Button("Stop WebSocket Server") | |
| with gr.Row(): | |
| gui = gr.Button("connect interface") | |
| with gr.Row(): | |
| port = gr.Textbox() | |
| startWebsockets.click(start_websockets, inputs=websocketPort, outputs=port) | |
| gui.click(listen_for_messages, inputs=None, outputs={client_message, server_message}) | |
| stopWebsockets.click(stop_websockets) | |
| demo.queue() | |
| demo.launch(share=True) |