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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: <NAME>-agent and/or <NAME>-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: <NAME>-agent and/or <NAME>-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: <NAME>-agent and/or <NAME>-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.") |