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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) |