import streamlit as st import datetime import asyncio import sqlite3 import threading import g4f import json import requests import home import websockets import streamlit as st import fireworks.client import gradio as gr from forefront import ForefrontClient from PyCharacterAI import Client servers = [] clients = [] inputs = [] outputs = [] used_ports = [] server_ports = [] client_ports = [] class chaindesk: servers = [] clients = [] inputs = [] outputs = [] used_ports = [] server_ports = [] client_ports = [] def __init__(self, agentID): self.agentID = agentID self.servers = [] self.clients = [] self.inputs = [] self.outputs = [] self.used_ports = [] self.server_ports = [] self.client_ports = [] self.server = None self.stat = st.empty() self.state = self.stat.status(label="Chaindesk", state=st.session_state.client_state, expanded=False) with st.sidebar: self.cont = st.empty() self.status = self.cont.status(label="Chaindesk", state=st.session_state.client_state, expanded=False) async def askChaindesk(self, question): if "agentID" not in st.session_state: st.session_state.agentID = self.agentID url = f"https://api.chaindesk.ai/agents/{self.agentID}/query" payload = { "query": question } headers = { "Authorization": "Bearer fe77e704-bc5a-4171-90f2-9d4b0d4ac942", "Content-Type": "application/json" } try: response = requests.request("POST", url, json=payload, headers=headers) response_text = response.text responseJson = json.loads(response_text) answerTxt = responseJson["answer"] answer = f"Chaindesk agent: {answerTxt}" print(answer) return answer except Exception as e: print(e) async def handlerChaindesk(self, websocket): self.stat.empty() self.cont.empty() self.status = self.cont.status(label=self.srv_name6, state="running", expanded=True) self.status.write(clients) self.state = self.stat.status(label=self.srv_name6, state="running", expanded=True) self.state.write(clients) instruction = "Hello! You are now entering a chat room for AI agents working as instances of NeuralGPT - a project of hierarchical cooperative multi-agent framework. Keep in mind that you are speaking with another chatbot. Please note that you may choose to ignore or not respond to repeating inputs from specific clients as needed to prevent unnecessary traffic. If you're unsure what you should do, ask the instance of higher hierarchy (server)" print('New connection') await websocket.send(instruction) db = sqlite3.connect('chat-hub.db') # Loop forever while True: # Receive a message from the client message = await websocket.recv() # Print the message print(f"Server received: {message}") input_Msg = st.chat_message("assistant") input_Msg.markdown(message) timestamp = datetime.datetime.now().isoformat() sender = 'client' db = sqlite3.connect('chat-hub.db') db.execute('INSERT INTO messages (sender, message, timestamp) VALUES (?, ?, ?)', (sender, message, timestamp)) db.commit() try: response = await self.askChaindesk(message) serverResponse = f"Chaindesk server: {response}" print(serverResponse) output_Msg = st.chat_message("ai") output_Msg.markdown(serverResponse) timestamp = datetime.datetime.now().isoformat() serverSender = 'server' db = sqlite3.connect('chat-hub.db') db.execute('INSERT INTO messages (sender, message, timestamp) VALUES (?, ?, ?)', (serverSender, serverResponse, timestamp)) db.commit() # Append the server response to the server_responses list await websocket.send(serverResponse) st.session_state.server_state = "complete" continue except websockets.exceptions.ConnectionClosedError as e: print(f"Connection closed: {e}") except Exception as e: print(f"Error: {e}") # Define a coroutine that will connect to the server and exchange messages async def startClient(self, clientPort): uri = f'ws://localhost:{clientPort}' self.cli_name6 = f"Chaindesk agent client port: {clientPort}" clients.append(self.cli_name6) self.stat.empty() self.cont.empty() self.status = self.cont.status(label=self.cli_name6, state="running", expanded=True) self.status.write(servers) self.state = self.stat.status(label=self.cli_name6, state="running", expanded=True) self.state.write(servers) # Connect to the server async with websockets.connect(uri) as websocket: # Loop forever while 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: response = await self.askChaindesk(input_message) res1 = f"Client: {response}" output_Msg = st.chat_message("ai") output_Msg.markdown(res1) await websocket.send(res1) continue except websockets.ConnectionClosed: print("client disconnected") continue except Exception as e: print(f"Error: {e}") async def handleUser(self, question): print(f"User B: {question}") timestamp = datetime.datetime.now().isoformat() sender = 'client' db = sqlite3.connect('chat-hub.db') db.execute('INSERT INTO messages (sender, message, timestamp) VALUES (?, ?, ?)', (sender, question, timestamp)) db.commit() try: answer = await self.askChaindesk(question) serverSender = 'server' timestamp = datetime.datetime.now().isoformat() db = sqlite3.connect('chat-hub.db') db.execute('INSERT INTO messages (sender, message, timestamp) VALUES (?, ?, ?)', (serverSender, answer, timestamp)) db.commit() return answer except Exception as e: print(f"Error: {e}") async def start_server(self, serverPort): self.srv_name6 = f"Chaindesk agent server port: {serverPort}" self.stat.empty() self.cont.empty() self.status = self.cont.status(label=self.srv_name6, state="running", expanded=True) self.status.write(clients) self.state = self.stat.status(label=self.srv_name6, state="running", expanded=True) self.state.write(clients) servers.append(self.srv_name6) self.server = await websockets.serve( self.handlerChaindesk, "localhost", serverPort ) print(f"WebSocket server started at port: {serverPort}") def run_forever(self): asyncio.get_event_loop().run_until_complete(self.start_server()) asyncio.get_event_loop().run_forever() async def stop_server(self): if self.server: servers.remove(self.srv_name6) clients.clear() self.server.close() await self.server.wait_closed() print("WebSocket server stopped.") # 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()) async def stop_client(self): global ws clients.remove(self.cli_name6) # Close the connection with the server await ws.close() print("Stopping WebSocket client...") class flowiseAgent: servers = [] clients = [] inputs = [] outputs = [] used_ports = [] server_ports = [] client_ports = [] def __init__(self, flowID): self.flow = flowID self.servers = [] self.clients = [] self.inputs = [] self.outputs = [] self.used_ports = [] self.server_ports = [] self.client_ports = [] self.server = None self.stat = st.empty() self.state = self.stat.status(label="Flowise", state=st.session_state.client_state, expanded=False) with st.sidebar: self.cont = st.empty() self.status = self.cont.status(label="Flowise agent", state=st.session_state.client_state, expanded=False) async def askFlowise(self, question): API_URL = f"http://localhost:3000/api/v1/prediction/{self.flow}" try: def query(payload): response = requests.post(API_URL, json=payload) return response.json() response = query({ "question": question, }) print(response) responseTxt = response["text"] answer = f"Flowise agent: {responseTxt}" print(answer) return answer except Exception as e: print(e) async def handlerFlowise(self, websocket): self.stat.empty() self.cont.empty() self.status = self.cont.status(label=self.srv_name6, state="running", expanded=True) self.status.write(clients) self.state = self.stat.status(label=self.srv_name6, state="running", expanded=True) self.state.write(clients) instruction = "Hello! You are now entering a chat room for AI agents working as instances of NeuralGPT - a project of hierarchical cooperative multi-agent framework. Keep in mind that you are speaking with another chatbot. Please note that you may choose to ignore or not respond to repeating inputs from specific clients as needed to prevent unnecessary traffic. If you're unsure what you should do, ask the instance of higher hierarchy (server)" print('New connection') await websocket.send(instruction) db = sqlite3.connect('chat-hub.db') # Loop forever while True: # Receive a message from the client message = await websocket.recv() # Print the message print(f"Server received: {message}") input_Msg = st.chat_message("assistant") input_Msg.markdown(message) timestamp = datetime.datetime.now().isoformat() sender = 'client' db = sqlite3.connect('chat-hub.db') db.execute('INSERT INTO messages (sender, message, timestamp) VALUES (?, ?, ?)', (sender, message, timestamp)) db.commit() try: response = await self.askFlowise(message) serverResponse = f"server: {response}" print(serverResponse) output_Msg = st.chat_message("ai") output_Msg.markdown(serverResponse) timestamp = datetime.datetime.now().isoformat() serverSender = 'server' db = sqlite3.connect('chat-hub.db') db.execute('INSERT INTO messages (sender, message, timestamp) VALUES (?, ?, ?)', (serverSender, serverResponse, timestamp)) db.commit() # Append the server response to the server_responses list await websocket.send(serverResponse) st.session_state.server_state = "complete" continue except websockets.exceptions.ConnectionClosedError as e: clients.remove(self.cli_name7) print(f"Connection closed: {e}") except Exception as e: clients.remove(self.cli_name7) print(f"Error: {e}") # Define a coroutine that will connect to the server and exchange messages async def startClient(self, clientPort): self.cli_name7 = f"Flowise client port: {clientPort}" uri = f'ws://localhost:{clientPort}' clients.append(self.cli_name7) self.stat.empty() self.cont.empty() self.status = self.cont.status(label=self.cli_name7, state="running", expanded=True) self.status.write(servers) self.state = self.stat.status(label=self.cli_name7, state="running", expanded=True) self.state.write(servers) # Connect to the server async with websockets.connect(uri) as websocket: # Loop forever while 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: response = await self.askFlowise(input_message) res1 = f"Client: {response}" output_Msg = st.chat_message("ai") output_Msg.markdown(res1) await websocket.send(res1) continue except websockets.exceptions.ConnectionClosedError as e: clients.remove(self.cli_name7) print(f"Connection closed: {e}") except Exception as e: clients.remove(self.cli_name7) print(f"Error: {e}") async def handleUser(self, question): print(f"User B: {question}") timestamp = datetime.datetime.now().isoformat() sender = 'client' db = sqlite3.connect('chat-hub.db') db.execute('INSERT INTO messages (sender, message, timestamp) VALUES (?, ?, ?)', (sender, question, timestamp)) db.commit() try: answer = await self.askFlowise(question) serverSender = 'server' timestamp = datetime.datetime.now().isoformat() db = sqlite3.connect('chat-hub.db') db.execute('INSERT INTO messages (sender, message, timestamp) VALUES (?, ?, ?)', (serverSender, answer, timestamp)) db.commit() return answer except Exception as e: print(f"Error: {e}") async def start_server(self, serverPort): self.srv_name7 = f"Flowise agent server port: {serverPort}" servers.append(self.srv_name7) self.stat.empty() self.cont.empty() self.status = self.cont.status(label=self.srv_name7, state="running", expanded=True) self.status.write(clients) self.state = self.stat.status(label=self.srv_name7, state="running", expanded=True) self.state.write(clients) self.server = await websockets.serve( self.handlerFlowise, "localhost", serverPort ) print(f"WebSocket server started at port: {serverPort}") def run_forever(self): asyncio.get_event_loop().run_until_complete(self.start_server()) asyncio.get_event_loop().run_forever() async def stop_server(self): if self.server: servers.remove(self.srv_name7) clients.clear() self.server.close() await self.server.wait_closed() self.cont.empty() self.stat.empty() print("WebSocket server stopped.") # 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()) async def stop_client(self): global ws clients.remove(self.cli_name7) self.cont.empty() self.stat.empty() # Close the connection with the server await ws.close() print("Stopping WebSocket client...") class forefrontAI: servers = [] clients = [] inputs = [] outputs = [] used_ports = [] server_ports = [] client_ports = [] def __init__(self, forefrontAPI): self.forefrontAPI = forefrontAPI self.servers = [] self.clients = [] self.inputs = [] self.outputs = [] self.used_ports = [] self.server_ports = [] self.client_ports = [] self.server = None self.stat = st.empty() self.state = self.stat.status(label="Forefront AI", state=st.session_state.client_state, expanded=False) with st.sidebar: self.cont = st.empty() self.status = self.cont.status(label="Forefront AI", state=st.session_state.client_state, expanded=False) async def askForefront(self, question): ff = ForefrontClient(api_key=self.forefrontAPI) system_instruction = "You are now integrated with a local instance of a hierarchical cooperative multi-agent framework called NeuralGPT" try: # Connect to the database and get the last 30 messages db = sqlite3.connect('chat-hub.db') cursor = db.cursor() cursor.execute("SELECT * FROM messages ORDER BY timestamp DESC LIMIT 3") messages = cursor.fetchall() messages.reverse() # Extract user inputs and generated responses from the messages past_user_inputs = [] generated_responses = [] for message in messages: if message[1] == 'server': past_user_inputs.append(message[2]) else: generated_responses.append(message[2]) last_msg = past_user_inputs[-1] last_response = generated_responses[-1] message = f'{{"client input: {last_msg}"}}' response = f'{{"server answer: {last_response}"}}' # Construct the message sequence for the chat model response = ff.chat.completions.create( messages=[ {"role": "system", "content": system_instruction}, *[{"role": "user", "content": past_user_inputs[-1]}], *[{"role": "assistant", "content": generated_responses[-1]}], {"role": "user", "content": question} ], stream=False, model="forefront/neural-chat-7b-v3-1-chatml", # Replace with the actual model name temperature=0.5, max_tokens=500, ) response_text = response.choices[0].message # Corrected indexing answer = f"Foredfront AI: {response_text}" print(answer) return answer except Exception as e: print(e) async def handlerForefront(self, websocket): self.stat.empty() self.cont.empty() self.status = self.cont.status(label=self.srv_name5, state="running", expanded=True) self.status.write(clients) self.state = self.stat.status(label=self.srv_name5, state="running", expanded=True) self.state.write(clients) instruction = "Hello! You are now entering a chat room for AI agents working as instances of NeuralGPT - a project of hierarchical cooperative multi-agent framework. Keep in mind that you are speaking with another chatbot. Please note that you may choose to ignore or not respond to repeating inputs from specific clients as needed to prevent unnecessary traffic. If you're unsure what you should do, ask the instance of higher hierarchy (server)" print('New connection') await websocket.send(instruction) db = sqlite3.connect('chat-hub.db') # Loop forever while True: # Receive a message from the client message = await websocket.recv() # Print the message print(f"Server received: {message}") input_Msg = st.chat_message("assistant") input_Msg.markdown(message) timestamp = datetime.datetime.now().isoformat() sender = 'client' db = sqlite3.connect('chat-hub.db') db.execute('INSERT INTO messages (sender, message, timestamp) VALUES (?, ?, ?)', (sender, message, timestamp)) db.commit() try: response = await self.askForefront(message) serverResponse = f"server: {response}" print(serverResponse) output_Msg = st.chat_message("ai") output_Msg.markdown(serverResponse) timestamp = datetime.datetime.now().isoformat() serverSender = 'server' db = sqlite3.connect('chat-hub.db') db.execute('INSERT INTO messages (sender, message, timestamp) VALUES (?, ?, ?)', (serverSender, serverResponse, timestamp)) db.commit() # Append the server response to the server_responses list await websocket.send(serverResponse) st.session_state.server_state = "complete" continue except websockets.exceptions.ConnectionClosedError as e: clients.remove(self.cli_name5) self.cont.empty() self.stat.empty() print(f"Connection closed: {e}") except Exception as e: clients.remove(self.cli_name5) self.cont.empty() self.stat.empty() print(f"Error: {e}") # Define a coroutine that will connect to the server and exchange messages async def startClient(self, clientPort): self.cli_name5 = f"Forefront AI client port: {clientPort}" uri = f'ws://localhost:{clientPort}' clients.append(self.cli_name7) self.stat.empty() self.cont.empty() self.status = self.cont.status(label=self.cli_name5, state="running", expanded=True) self.status.write(servers) self.state = self.stat.status(label=self.cli_name5, state="running", expanded=True) self.state.write(servers) # Connect to the server async with websockets.connect(uri) as websocket: # Loop forever while 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: response = await self.askForefront(input_message) res1 = f"Forefront client: {response}" await websocket.send(res1) continue except websockets.exceptions.ConnectionClosedError as e: clients.remove(self.cli_name5) self.cont.empty() self.stat.empty() print(f"Connection closed: {e}") except Exception as e: clients.remove(self.cli_name5) self.cont.empty() self.stat.empty() print(f"Error: {e}") async def handleUser(self, question): print(f"User B: {question}") timestamp = datetime.datetime.now().isoformat() sender = 'client' db = sqlite3.connect('chat-hub.db') db.execute('INSERT INTO messages (sender, message, timestamp) VALUES (?, ?, ?)', (sender, question, timestamp)) db.commit() try: answer = await self.askForefront(question) serverSender = 'server' timestamp = datetime.datetime.now().isoformat() db = sqlite3.connect('chat-hub.db') db.execute('INSERT INTO messages (sender, message, timestamp) VALUES (?, ?, ?)', (serverSender, answer, timestamp)) db.commit() return answer except Exception as e: print(f"Error: {e}") async def start_server(self, serverPort): self.srv_name5 = f"Forefront AI server port: {serverPort}" servers.append(self.srv_name7) self.stat.empty() self.cont.empty() self.status = self.cont.status(label=self.srv_name5, state="running", expanded=True) self.status.write(clients) self.state = self.stat.status(label=self.srv_name5, state="running", expanded=True) self.state.write(clients) self.server = await websockets.serve( self.handlerForefront, "localhost", serverPort ) print(f"WebSocket server started at port: {serverPort}") def run_forever(self): asyncio.get_event_loop().run_until_complete(self.start_server()) asyncio.get_event_loop().run_forever() async def stop_server(self): if self.server: servers.remove(self.srv_name5) clients.clear() self.server.close() await self.server.wait_closed() print("WebSocket server stopped.") # 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()) async def stop_client(self): global ws clients.remove(self.cli_name5) self.cont.empty() self.stat.empty() # Close the connection with the server await ws.close() print("Stopping WebSocket client...") class chatGPT4F: servers = [] clients = [] inputs = [] outputs = [] used_ports = [] server_ports = [] client_ports = [] def __init__(self): self.servers = [] self.clients = [] self.inputs = [] self.outputs = [] self.used_ports = [] self.server_ports = [] self.client_ports = [] self.server = None self.stat = st.empty() self.state = self.stat.status(label="GPT-3,5", state=st.session_state.client_state, expanded=False) with st.sidebar: self.cont = st.empty() self.status = self.cont.status(label="GPT-3,5", state=st.session_state.client_state, expanded=False) async def askGPT(self, question): system_instruction = "You are now integrated with a local websocket server in a project of hierarchical cooperative multi-agent framework called NeuralGPT. Your main job is to coordinate simultaneous work of multiple LLMs connected to you as clients. Each LLM has a model (API) specific ID to help you recognize different clients in a continuous chat thread (template: -agent and/or -client). Your chat memory module is integrated with a local SQL database with chat history. Your primary objective is to maintain the logical and chronological order while answering incoming messages and to send your answers to the correct clients to maintain synchronization of the question->answer logic. However, please note that you may choose to ignore or not respond to repeating inputs from specific clients as needed to prevent unnecessary traffic." try: db = sqlite3.connect('chat-hub.db') cursor = db.cursor() cursor.execute("SELECT * FROM messages ORDER BY timestamp DESC LIMIT 30") messages = cursor.fetchall() messages.reverse() past_user_inputs = [] generated_responses = [] for message in messages: if message[1] == 'client': past_user_inputs.append(message[2]) else: generated_responses.append(message[2]) response = await g4f.ChatCompletion.create_async( model="gpt-3.5-turbo", provider=g4f.Provider.You, messages=[ {"role": "system", "content": system_instruction}, *[{"role": "user", "content": message} for message in past_user_inputs], *[{"role": "assistant", "content": message} for message in generated_responses], {"role": "user", "content": question} ]) answer = f"GPT-3,5: {response}" print(answer) return answer except Exception as e: print(e) async def handlerGPT(self, websocket): self.stat.empty() self.cont.empty() self.status = self.cont.status(label=self.srv_name4, state="running", expanded=True) self.status.write(clients) self.state = self.stat.status(label=self.srv_name4, state="running", expanded=True) self.state.write(clients) instruction = "Hello! You are now entering a chat room for AI agents working as instances of NeuralGPT - a project of hierarchical cooperative multi-agent framework. Keep in mind that you are speaking with another chatbot. Please note that you may choose to ignore or not respond to repeating inputs from specific clients as needed to prevent unnecessary traffic. If you're unsure what you should do, ask the instance of higher hierarchy (server)" print('New connection') await websocket.send(instruction) db = sqlite3.connect('chat-hub.db') # Loop forever while True: # Receive a message from the client message = await websocket.recv() # Print the message print(f"Server received: {message}") input_Msg = st.chat_message("assistant") input_Msg.markdown(message) timestamp = datetime.datetime.now().isoformat() sender = 'client' db = sqlite3.connect('chat-hub.db') db.execute('INSERT INTO messages (sender, message, timestamp) VALUES (?, ?, ?)', (sender, message, timestamp)) db.commit() try: response = await self.askGPT(message) serverResponse = f"server: {response}" print(serverResponse) output_Msg = st.chat_message("ai") output_Msg.markdown(serverResponse) timestamp = datetime.datetime.now().isoformat() serverSender = 'server' db = sqlite3.connect('chat-hub.db') db.execute('INSERT INTO messages (sender, message, timestamp) VALUES (?, ?, ?)', (serverSender, serverResponse, timestamp)) db.commit() # Append the server response to the server_responses list await websocket.send(serverResponse) st.session_state.server_state = "complete" continue except websockets.exceptions.ConnectionClosedError as e: clients.remove(self.cli_name4) print(f"Connection closed: {e}") except Exception as e: clients.remove(self.cli_name4) print(f"Error: {e}") # Define a coroutine that will connect to the server and exchange messages async def startClient(self, clientPort): self.cli_name4 = f"GPT-3,5 client port: {clientPort}" uri = f'ws://localhost:{clientPort}' clients.append(self.cli_name4) self.stat.empty() self.cont.empty() self.status = self.cont.status(label=self.cli_name4, state="running", expanded=True) self.status.write(servers) self.state = self.stat.status(label=self.cli_name4, state="running", expanded=True) self.state.write(servers) # Connect to the server async with websockets.connect(uri) as websocket: # Loop forever while 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: response = await self.askGPT(input_message) res1 = f"Client: {response}" output_Msg = st.chat_message("ai") output_Msg.markdown(res1) await websocket.send(res1) continue except websockets.exceptions.ConnectionClosedError as e: clients.remove(self.cli_name4) print(f"Connection closed: {e}") except Exception as e: clients.remove(self.cli_name4) print(f"Error: {e}") async def handleUser(self, question): print(f"User B: {question}") timestamp = datetime.datetime.now().isoformat() sender = 'client' db = sqlite3.connect('chat-hub.db') db.execute('INSERT INTO messages (sender, message, timestamp) VALUES (?, ?, ?)', (sender, question, timestamp)) db.commit() try: answer = await self.askGPT(question) serverSender = 'server' timestamp = datetime.datetime.now().isoformat() db = sqlite3.connect('chat-hub.db') db.execute('INSERT INTO messages (sender, message, timestamp) VALUES (?, ?, ?)', (serverSender, answer, timestamp)) db.commit() return answer except Exception as e: print(f"Error: {e}") async def start_server(self, serverPort): self.srv_name4 = f"GPT-3,5 server port: {serverPort}" servers.append(self.srv_name4) self.stat.empty() self.cont.empty() self.status = self.cont.status(label=self.srv_name4, state="running", expanded=True) self.status.write(clients) self.state = self.stat.status(label=self.srv_name4, state="running", expanded=True) self.state.write(clients) self.server = await websockets.serve( self.handlerGPT, "localhost", serverPort ) print(f"WebSocket server started at port: {serverPort}") def run_forever(self): asyncio.get_event_loop().run_until_complete(self.start_server()) asyncio.get_event_loop().run_forever() async def stop_server(self): if self.server: servers.remove(self.srv_name4) clients.clear() self.server.close() await self.server.wait_closed() print("WebSocket server stopped.") # 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()) async def stop_client(self): global ws clients.remove(self.cli_nam4) # Close the connection with the server await ws.close() print("Stopping WebSocket client...") class bingG4F: servers = [] clients = [] inputs = [] outputs = [] used_ports = [] server_ports = [] client_ports = [] def __init__(self): self.servers = [] self.clients = [] self.inputs = [] self.outputs = [] self.used_ports = [] self.server_ports = [] self.client_ports = [] self.server = None self.stat = st.empty() self.state = self.stat.status(label="Bing/Copilot", state=st.session_state.client_state, expanded=False) with st.sidebar: self.cont = st.empty() self.status = self.cont.status(label="Bing/Copilot", state=st.session_state.client_state, expanded=False) async def askBing(self, question): system_instruction = "You are now integrated with a local websocket server in a project of hierarchical cooperative multi-agent framework called NeuralGPT. Your main job is to coordinate simultaneous work of multiple LLMs connected to you as clients. Each LLM has a model (API) specific ID to help you recognize different clients in a continuous chat thread (template: -agent and/or -client). Your chat memory module is integrated with a local SQL database with chat history. Your primary objective is to maintain the logical and chronological order while answering incoming messages and to send your answers to the correct clients to maintain synchronization of the question->answer logic. However, please note that you may choose to ignore or not respond to repeating inputs from specific clients as needed to prevent unnecessary traffic." try: db = sqlite3.connect('chat-hub.db') cursor = db.cursor() cursor.execute("SELECT * FROM messages ORDER BY timestamp DESC LIMIT 30") messages = cursor.fetchall() messages.reverse() past_user_inputs = [] generated_responses = [] for message in messages: if message[1] == 'server': past_user_inputs.append(message[2]) else: generated_responses.append(message[2]) response = await g4f.ChatCompletion.create_async( model=g4f.models.gpt_4, provider=g4f.Provider.Bing, messages=[ {"role": "system", "content": system_instruction}, *[{"role": "user", "content": message} for message in past_user_inputs], *[{"role": "assistant", "content": message} for message in generated_responses], {"role": "user", "content": question} ]) answer = f"Bing/Copilot: {response}" print(answer) return answer except Exception as e: print(e) async def handlerBing(self, websocket): self.stat.empty() self.cont.empty() self.status = self.cont.status(label=self.srv_name3, state="running", expanded=True) self.status.write(clients) self.state = self.stat.status(label=self.srv_name3, state="running", expanded=True) self.state.write(clients) instruction = "Hello! You are now entering a chat room for AI agents working as instances of NeuralGPT - a project of hierarchical cooperative multi-agent framework. Keep in mind that you are speaking with another chatbot. Please note that you may choose to ignore or not respond to repeating inputs from specific clients as needed to prevent unnecessary traffic. If you're unsure what you should do, ask the instance of higher hierarchy (server)" print('New connection') await websocket.send(instruction) db = sqlite3.connect('chat-hub.db') # Loop forever while True: # Receive a message from the client message = await websocket.recv() # Print the message print(f"Server received: {message}") input_Msg = st.chat_message("assistant") input_Msg.markdown(message) timestamp = datetime.datetime.now().isoformat() sender = 'client' db = sqlite3.connect('chat-hub.db') db.execute('INSERT INTO messages (sender, message, timestamp) VALUES (?, ?, ?)', (sender, message, timestamp)) db.commit() try: response = await self.askBing(message) serverResponse = f"server: {response}" print(serverResponse) output_Msg = st.chat_message("ai") output_Msg.markdown(serverResponse) timestamp = datetime.datetime.now().isoformat() serverSender = 'server' db = sqlite3.connect('chat-hub.db') db.execute('INSERT INTO messages (sender, message, timestamp) VALUES (?, ?, ?)', (serverSender, serverResponse, timestamp)) db.commit() # Append the server response to the server_responses list await websocket.send(serverResponse) st.session_state.server_state = "complete" continue except websockets.exceptions.ConnectionClosedError as e: clients.remove(self.cli_name4) print(f"Connection closed: {e}") except Exception as e: clients.remove(self.cli_name4) print(f"Error: {e}") # Define a coroutine that will connect to the server and exchange messages async def startClient(self, clientPort): self.cli_name3 = f"Bing/Copilot client port: {clientPort}" uri = f'ws://localhost:{clientPort}' clients.append(self.cli_name3) self.stat.empty() self.cont.empty() self.status = self.cont.status(label=self.cli_name3, state="running", expanded=True) self.status.write(servers) self.state = self.stat.status(label=self.cli_name3, state="running", expanded=True) self.state.write(servers) # Connect to the server async with websockets.connect(uri) as websocket: # Loop forever while 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: response = await self.askBing(input_message) res1 = f"Client: {response}" output_Msg = st.chat_message("ai") output_Msg.markdown(res1) await websocket.send(res1) continue except websockets.exceptions.ConnectionClosedError as e: clients.remove(self.cli_name3) print(f"Connection closed: {e}") except Exception as e: clients.remove(self.cli_name3) print(f"Error: {e}") async def handleUser(self, question): print(f"User B: {question}") timestamp = datetime.datetime.now().isoformat() sender = 'client' db = sqlite3.connect('chat-hub.db') db.execute('INSERT INTO messages (sender, message, timestamp) VALUES (?, ?, ?)', (sender, question, timestamp)) db.commit() try: answer = await self.askBing(question) serverSender = 'server' timestamp = datetime.datetime.now().isoformat() db = sqlite3.connect('chat-hub.db') db.execute('INSERT INTO messages (sender, message, timestamp) VALUES (?, ?, ?)', (serverSender, answer, timestamp)) db.commit() return answer except Exception as e: print(f"Error: {e}") async def start_server(self, serverPort): self.srv_name3 = f"Bing/Copilot server port: {serverPort}" servers.append(self.srv_name3) self.stat.empty() self.cont.empty() self.status = self.cont.status(label=self.srv_name3, state="running", expanded=True) self.status.write(clients) self.state = self.stat.status(label=self.srv_name3, state="running", expanded=True) self.state.write(clients) self.server = await websockets.serve( self.handlerBing, "localhost", serverPort ) print(f"WebSocket server started at port: {serverPort}") def run_forever(self): asyncio.get_event_loop().run_until_complete(self.start_server()) asyncio.get_event_loop().run_forever() async def stop_server(self): if self.server: self.server.close() await self.server.wait_closed() print("WebSocket server stopped.") # 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()) async def stop_client(self): global ws clients.remove(self.cli_name3) # Close the connection with the server await ws.close() print("Stopping WebSocket client...") class fireworksLlama2: servers = [] clients = [] inputs = [] outputs = [] used_ports = [] server_ports = [] client_ports = [] def __init__(self, fireworksAPI): self.servers = [] self.clients = [] self.inputs = [] self.outputs = [] self.used_ports = [] self.server_ports = [] self.client_ports = [] self.fireworksAPI = fireworksAPI self.server = None self.stat = st.empty() self.state = self.stat.status(label="Fireworks Llama2", state=st.session_state.client_state, expanded=False) with st.sidebar: self.cont = st.empty() self.status = self.cont.status(label="Fireworks Llama2", state=st.session_state.client_state, expanded=False) async def chatFireworks(self, question): fireworks.client.api_key = self.fireworksAPI system_instruction = "You are now integrated with a local websocket server in a project of hierarchical cooperative multi-agent framework called NeuralGPT. Your main job is to coordinate simultaneous work of multiple LLMs connected to you as clients. Each LLM has a model (API) specific ID to help you recognize different clients in a continuous chat thread (template: -agent and/or -client). Your chat memory module is integrated with a local SQL database with chat history. Your primary objective is to maintain the logical and chronological order while answering incoming messages and to send your answers to the correct clients to maintain synchronization of the question->answer logic. However, please note that you may choose to ignore or not respond to repeating inputs from specific clients as needed to prevent unnecessary traffic." try: # Connect to the database and get the last 30 messages db = sqlite3.connect('chat-hub.db') cursor = db.cursor() cursor.execute("SELECT * FROM messages ORDER BY timestamp DESC LIMIT 10") messages = cursor.fetchall() messages.reverse() # Extract user inputs and generated responses from the messages past_user_inputs = [] generated_responses = [] for message in messages: if message[1] == 'client': past_user_inputs.append(message[2]) else: generated_responses.append(message[2]) # Prepare data to send to the chatgpt-api.shn.hk response = fireworks.client.ChatCompletion.create( model="accounts/fireworks/models/llama-v2-7b-chat", messages=[ {"role": "system", "content": system_instruction}, *[{"role": "user", "content": input} for input in past_user_inputs], *[{"role": "assistant", "content": response} for response in generated_responses], {"role": "user", "content": question} ], stream=False, n=1, max_tokens=2500, temperature=0.5, top_p=0.7, ) answer = response.choices[0].message.content print(answer) return str(answer) except Exception as error: print("Error while fetching or processing the response:", error) return "Error: Unable to generate a response." # Define the handler function that will process incoming messages async def handlerFire(self, websocket): self.stat.empty() self.cont.empty() self.status = self.cont.status(label=self.srv_name2, state="running", expanded=True) self.status.write(clients) self.state = self.stat.status(label=self.srv_name2, state="running", expanded=True) self.state.write(clients) instruction = "Hello! You are now entering a chat room for AI agents working as instances of NeuralGPT - a project of hierarchical cooperative multi-agent framework. Keep in mind that you are speaking with another chatbot. Please note that you may choose to ignore or not respond to repeating inputs from specific clients as needed to prevent unnecessary traffic. If you're unsure what you should do, ask the instance of higher hierarchy (server)" print('New connection') await websocket.send(instruction) db = sqlite3.connect('chat-hub.db') # Loop forever while True: # Receive a message from the client message = await websocket.recv() # Print the message print(f"Server received: {message}") input_Msg = st.chat_message("assistant") input_Msg.markdown(message) timestamp = datetime.datetime.now().isoformat() sender = 'client' db = sqlite3.connect('chat-hub.db') db.execute('INSERT INTO messages (sender, message, timestamp) VALUES (?, ?, ?)', (sender, message, timestamp)) db.commit() try: response = await self.chatFireworks(message) serverResponse = f"server: {response}" print(serverResponse) output_Msg = st.chat_message("ai") output_Msg.markdown(serverResponse) timestamp = datetime.datetime.now().isoformat() serverSender = 'server' db = sqlite3.connect('chat-hub.db') db.execute('INSERT INTO messages (sender, message, timestamp) VALUES (?, ?, ?)', (serverSender, serverResponse, timestamp)) db.commit() # Append the server response to the server_responses list await websocket.send(serverResponse) continue except websockets.exceptions.ConnectionClosedError as e: print(f"Connection closed: {e}") except Exception as e: print(f"Error: {e}") # Define a coroutine that will connect to the server and exchange messages async def startClient(self, clientPort): self.cli_name2 = f"Forefront AI client port: {clientPort}" uri = f'ws://localhost:{clientPort}' clients.append(self.cli_name2) self.stat.empty() self.cont.empty() self.status = self.cont.status(label=self.cli_name2, state="running", expanded=True) self.status.write(servers) self.state = self.stat.status(label=self.cli_name2, state="running", expanded=True) self.state.write(servers) # Connect to the server async with websockets.connect(uri) as websocket: # Loop forever while 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: response = await self.chatFireworks(input_message) res1 = f"Client: {response}" output_Msg = st.chat_message("ai") output_Msg.markdown(res1) await websocket.send(res1) continue except websockets.exceptions.ConnectionClosedError as e: clients.remove(self.cli_name2) print(f"Connection closed: {e}") except Exception as e: clients.remove(self.cli_name2) print(f"Error: {e}") async def handleUser(self, question): print(f"User B: {question}") timestamp = datetime.datetime.now().isoformat() sender = 'client' db = sqlite3.connect('chat-hub.db') db.execute('INSERT INTO messages (sender, message, timestamp) VALUES (?, ?, ?)', (sender, question, timestamp)) db.commit() try: answer = await self.chatFireworks(question) response = f"Fireworks Llama2: {answer}" serverSender = 'server' timestamp = datetime.datetime.now().isoformat() db = sqlite3.connect('chat-hub.db') db.execute('INSERT INTO messages (sender, message, timestamp) VALUES (?, ?, ?)', (serverSender, response, timestamp)) db.commit() return response except Exception as e: print(f"Error: {e}") async def start_server(self, serverPort): self.srv_name2 = f"Fireworks Llama2 server port: {serverPort}" servers.append(self.srv_name2) self.stat.empty() self.cont.empty() self.status = self.cont.status(label=self.srv_name2, state="running", expanded=True) self.status.write(clients) self.state = self.stat.status(label=self.srv_name2, state="running", expanded=True) self.state.write(clients) self.server = await websockets.serve( self.handlerFire, "localhost", serverPort ) print(f"WebSocket server started at port: {serverPort}") def run_forever(self): asyncio.get_event_loop().run_until_complete(self.start_server()) asyncio.get_event_loop().run_forever() async def stop_server(self): if self.server: self.server.close() await self.server.wait_closed() print("WebSocket server stopped.") # 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 async def stop_server(self): if self.server: servers.remove(self.srv_name2) clients.clear() self.server.close() await self.server.wait_closed() print("WebSocket server stopped.") async def stop_client(self): global ws clients.remove(self.cli_name2) # Close the connection with the server await ws.close() print("Stopping WebSocket client...") class characterAI: servers = [] clients = [] inputs = [] outputs = [] used_ports = [] server_ports = [] client_ports = [] def __init__(self, token): self.client = Client() self.servers = [] self.clients = [] self.inputs = [] self.outputs = [] self.used_ports = [] self.server_ports = [] self.client_ports = [] self.token = token self.client = Client() self.server = None self.stat = st.empty() self.state = self.stat.status(label="Character.ai", state=st.session_state.client_state, expanded=False) with st.sidebar: self.cont = st.empty() self.status = self.cont.status(label="Character.ai", state=st.session_state.client_state, expanded=False) async def askCharacter(self, characterID, question): db = sqlite3.connect('chat-hub.db') await self.client.authenticate_with_token(self.token) chat = await self.client.create_or_continue_chat(characterID) timestamp = datetime.datetime.now().isoformat() sender = 'client' db = sqlite3.connect('chat-hub.db') db.execute('INSERT INTO messages (sender, message, timestamp) VALUES (?, ?, ?)', (sender, question, timestamp)) db.commit() try: answer = await chat.send_message(question) response = f"{answer.src_character_name}: {answer.text}" timestamp = datetime.datetime.now().isoformat() serverSender = 'server' db = sqlite3.connect('chat-hub.db') db.execute('INSERT INTO messages (sender, message, timestamp) VALUES (?, ?, ?)', (serverSender, response, timestamp)) db.commit() answer1 = f"Character.ai: {response}" print(answer1) return str(answer1) except Exception as e: print(f"Error: {e}") async def handleUser(self, characterID, question): print(f"User B: {question}") timestamp = datetime.datetime.now().isoformat() sender = 'client' db = sqlite3.connect('chat-hub.db') db.execute('INSERT INTO messages (sender, message, timestamp) VALUES (?, ?, ?)', (sender, question, timestamp)) db.commit() try: answer = await self.askCharacter(characterID, question) serverSender = 'server' timestamp = datetime.datetime.now().isoformat() db = sqlite3.connect('chat-hub.db') db.execute('INSERT INTO messages (sender, message, timestamp) VALUES (?, ?, ?)', (serverSender, answer, timestamp)) db.commit() return answer except Exception as e: print(f"Error: {e}") async def handlerChar(self, websocket): self.stat.empty() self.cont.empty() self.status = self.cont.status(label=self.srv_name1, state="running", expanded=True) self.status.write(clients) self.state = self.stat.status(label=self.srv_name1, state="running", expanded=True) self.state.write(clients) instruction = "Hello! You are now entering a chat room for AI agents working as instances of NeuralGPT - a project of hierarchical cooperative multi-agent framework. Keep in mind that you are speaking with another chatbot. Please note that you may choose to ignore or not respond to repeating inputs from specific clients as needed to prevent unnecessary traffic. If you're unsure what you should do, ask the instance of higher hierarchy (server)" print('New connection') await self.client.authenticate_with_token(self.token) chat = await self.client.create_or_continue_chat(self.characterID) await websocket.send(instruction) while True: # Receive a message from the client message = await websocket.recv() # Print the message print(f"Server received: {message}") input_Msg = st.chat_message("assistant") input_Msg.markdown(message) timestamp = datetime.datetime.now().isoformat() sender = 'client' db = sqlite3.connect('chat-hub.db') db.execute('INSERT INTO messages (sender, message, timestamp) VALUES (?, ?, ?)', (sender, message, timestamp)) db.commit() try: answer = await chat.send_message(message) response = f"{answer.src_character_name}: {answer.text}" print(response) output_Msg = st.chat_message("ai") output_Msg.markdown(response) timestamp = datetime.datetime.now().isoformat() serverSender = 'server' db = sqlite3.connect('chat-hub.db') db.execute('INSERT INTO messages (sender, message, timestamp) VALUES (?, ?, ?)', (serverSender, response, timestamp)) db.commit() await websocket.send(response) st.session_state.server_state = "complete" self.status.update(state=st.session_state.server_state) continue except websockets.exceptions.ConnectionClosedError as e: clients.remove(self.cli_name1) print(f"Connection closed: {e}") except Exception as e: clients.remove(self.cli_name1) print(f"Error: {e}") # Define a coroutine that will connect to the server and exchange messages async def startClient(self, characterID, clientPort): client = Client() await client.authenticate_with_token(self.token) chat = await client.create_or_continue_chat(characterID) self.cli_name1 = f"Character.ai client port: {clientPort}" uri = f'ws://localhost:{clientPort}' clients.append(self.cli_name1) self.stat.empty() self.cont.empty() self.status = self.cont.status(label=self.cli_name1, state="running", expanded=True) self.status.write(servers) self.state = self.stat.status(label=self.cli_name1, state="running", expanded=True) self.state.write(servers) # Connect to the server uri = f'ws://localhost:{clientPort}' self.name = f"Character.ai client port: {clientPort}" async with websockets.connect(uri) as websocket: # Loop forever while 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}" answer = f"Character.ai: {response}" print(answer) outputMsg1 = st.chat_message("ai") outputMsg1.markdown(answer) await websocket.send(answer) continue except websockets.ConnectionClosed: print("client disconnected") clients.remove(self.cli_name1) self.cont.empty() self.stat.empty() continue except Exception as e: clients.remove(self.cli_name1) self.cont.empty() self.stat.empty() continue async def connector(self, token): client = Client() await self.client.authenticate_with_token(token) username = (await client.fetch_user())['user']['username'] print(f'Authenticated as {username}') return username async def start_server(self, characterID, serverPort): self.characterID = characterID st.session_state.server_state = "running" self.server = await websockets.serve( self.handlerChar, "localhost", serverPort ) print(f"WebSocket server started at: {serverPort}") def run_forever(self): asyncio.get_event_loop().run_until_complete(self.start_server()) asyncio.get_event_loop().run_forever() async def stop_server(self): if self.server: self.server.close() await self.server.wait_closed() self.cont.empty() clients.clear() client_ports.clear() print("WebSocket server stopped.")