Neural-GPT / pages /Gradio.py
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Rename pages/G.py to pages/Gradio.py
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import streamlit as st
import datetime
import asyncio
import sqlite3
import g4f
import websockets
import streamlit as st
import fireworks.client
import gradio as gr
import streamlit.components.v1 as components
from PyCharacterAI import Client
from ServG4F import WebSocketServer1
from ServFire import WebSocketServer
from ServChar import WebSocketServer2
from clientG4F import WebSocketClient1
from clientFireworks import WebSocketClient
from clientCharacter import WebSocketClient2
from websockets.sync.client import connect
client = Client()
servers = {}
clients = {}
inputs = []
outputs = []
used_ports = []
server_ports = []
client_ports = []
chat_history = []
ports_g4f = []
ports_fire = []
serv_char = []
serv_g4f = []
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."
db = sqlite3.connect('chat-hub.db')
cursor = db.cursor()
cursor.execute('CREATE TABLE IF NOT EXISTS messages (id INTEGER PRIMARY KEY AUTOINCREMENT, sender TEXT, message TEXT, timestamp TEXT)')
db.commit()
st.set_page_config(layout="wide")
async def askQuestion(question):
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=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}
])
print(response)
return response
except Exception as e:
print(e)
async def chatCompletion(fireworksAPI, question):
fireworks.client.api_key = fireworksAPI
st.session_state.api_key = fireworksAPI
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."
async def main():
if "server_ports" not in st.session_state:
st.session_state['server_ports'] = ""
if "client_ports" not in st.session_state:
st.session_state['client_ports'] = ""
if "chat_history" not in st.session_state:
st.session_state['chat_history'] = ""
if "user_ID" not in st.session_state:
st.session_state.user_ID = ""
if "gradio_Port" not in st.session_state:
st.session_state.gradio_Port = ""
if "servers" not in st.session_state:
st.session_state.servers = None
if "server" not in st.session_state:
st.session_state.server = False
if "client" not in st.session_state:
st.session_state.client = False
if "api_key" not in st.session_state:
st.session_state.api_key = ""
if "tokenChar" not in st.session_state:
st.session_state.tokenChar = ""
if "charName" not in st.session_state:
st.session_state.charName = ""
if "character_ID" not in st.session_state:
st.session_state.character_ID = ""
gradioPorts = st.container(border=True)
gradioPort = st.number_input("Gradio server port", min_value=1000, max_value=9999, value=1000)
startGradio = st.button("Start Gradio")
st.sidebar.text("Server ports:")
serverPorts = st.sidebar.container(border=True)
serverPorts.markdown(st.session_state['server_ports'])
st.sidebar.text("Client ports")
clientPorts = st.sidebar.container(border=True)
clientPorts.markdown(st.session_state['client_ports'])
st.sidebar.text("Character.ai ID")
user_id = st.sidebar.container(border=True)
user_id.markdown(st.session_state.user_ID)
chat_Area = st.container(border=True)
async def askCharacter(token, character_ID, question):
chatbox2 = st.container(border=True)
await client.authenticate_with_token(token)
username = (await client.fetch_user())['user']['username']
chat = await client.create_or_continue_chat(character_ID)
input = f"User B: {question}"
chatbox2.chat_message("human").write(input)
st.session_state.tokenChar = token
st.session_state.charName = username
st.session_state.character_ID = character_ID
st.session_state.user_ID = username
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(input)
response = f"{answer.src_character_name}: {answer.text}"
print(response)
chatbox2.chat_message("ai").write(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()
return response
except Exception as e:
print(f"Error: {e}")
with st.sidebar:
user_id = st.sidebar.container(border=True)
user_id.markdown(st.session_state.user_ID)
async def handleUser(fireworksAPI, userInput):
question = f"User B: {userInput}"
print(question)
chat_Area.markdown(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:
response2 = await chatCompletion(fireworksAPI, question)
response = f"Llama2: {response2}"
chat_Area.markdown(response)
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 handleUser2(userInput):
question = f"User B: {userInput}"
print(question)
user_input = st.chat_message("human")
chat_history.append(question)
user_input.markdown(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:
response3 = await askQuestion(question)
response = f"GPT4Free: {response3}"
chat_Area.markdown(response)
serverSender = 'server'
timestamp = datetime.datetime.now().isoformat()
db = sqlite3.connect('chat-hub.db')
db.execute('INSERT INTO messages (sender, message, timestamp) VALUES (?, ?, ?)',
(serverSender, response3, timestamp))
db.commit()
return response3
except Exception as e:
print(f"Error: {e}")
# Start the WebSocket server
async def run_websockets(fireworks_API, websocketPort):
global server
fireworks.client.api_key = fireworks_API
st.session_state.api_key = fireworks_API
server_ports.append(websocketPort)
try:
server = WebSocketServer("localhost", websocketPort)
print(f"Starting WebSocket server on port {websocketPort}...")
await server.start_server()
serverPorts.markdown(server_ports)
return "Used ports:\n" + '\n'.join(map(str, server_ports))
except Exception as e:
print(f"Error: {e}")
# Start the WebSocket server1
async def run_websockets1(websocketPort):
global server
serv_g4f.append(websocketPort)
try:
server = WebSocketServer1("localhost", websocketPort)
print(f"Starting WebSocket server on port {websocketPort}...")
await server.start_server()
return "Used ports:\n" + '\n'.join(map(str, server_ports))
except Exception as e:
print(f"Error: {e}")
with st.sidebar:
portsG4F = st.container(border=True)
portsG4F.markdown(serv_g4f)
async def run_websockets2(websocketPort, token, characterID):
global server
client = Client()
serv_char.append(websocketPort)
await client.authenticate_with_token(token)
username = (await client.fetch_user())['user']['username']
user_id.markdown(username)
st.session_state.user_ID = username
st.session_state.character_ID = characterID
st.session_state.tokenChar = token
try:
server2 = WebSocketServer2("localhost", websocketPort)
print(f"Starting WebSocket server on port {websocketPort}...")
await server.start_server()
return "Used ports:\n" + '\n'.join(map(str, server_ports))
except Exception as e:
print(f"Error: {e}")
with st.sidebar:
char_ports = st.sidebar.container(border=True)
char_ports.markdown(serv_char)
async def run_client(fireworksAPI, clientPort):
chat_Area = st.container(border=True)
with st.sidebar:
fire_ports = st.container(border=True)
fire_ports.markdown(ports_fire)
uri = f'ws://localhost:{clientPort}'
ports_fire.append(clientPort)
async with websockets.connect(uri) as ws:
while True:
# Listen for messages from the server
input_message = await ws.recv()
question = f"server: {input_message}"
chat_Area.markdown(question)
output_message = await chatCompletion(fireworksAPI, input_message)
response = f"client: {output_message}"
chat_Area.markdown(response)
await ws.send(output_message)
await asyncio.sleep(0.1)
async def run_client1(clientPort):
g4f_ports = st.sidebar.container(border=True)
g4f_ports.markdown("GPT4Free clients: ")
chatbox1 = st.container(border=True)
uri = f'ws://localhost:{clientPort}'
ports_g4f.append(clientPort)
g4f_ports.markdown(ports_g4f)
async with websockets.connect(uri) as ws:
while True:
# Listen for messages from the server
input_message = await ws.recv()
input_msg = f"server: {input_message}"
chatbox1.markdown(input_msg)
output_message = await askQuestion(input_msg)
response = f"client: {output_message}"
chatbox1.markdown(response)
await ws.send(response)
await asyncio.sleep(0.1)
async def run_character(characterPort, token, characterID):
clientPorts = st.sidebar.container(border=True)
uri = f'ws://localhost:{characterPort}'
client_ports.append(characterPort)
clientPorts.markdown(client_ports)
st.session_state.tokenChar = token
st.session_state.character_ID = characterID
await client.authenticate_with_token(token)
username = (await client.fetch_user())['user']['username']
st.session_state.charName = username
async with websockets.connect(uri) as ws:
while True:
# Listen for messages from the server
question = await ws.recv()
input_msg = f"server: {question}"
chat_Area.markdown(input_msg)
chat = await client.create_or_continue_chat(characterID)
answer = await chat.send_message(question)
response = f"{answer.src_character_name}: {answer.text}"
chat_Area.markdown(response)
print(f"{answer.src_character_name}: {answer.text}")
await ws.send(answer.text)
async def connector(token):
await client.authenticate_with_token(token)
username = (await client.fetch_user())['user']['username']
print(f'Authenticated as {username}')
return username
async def askCharacter(token, character_id, question):
chat_Area = st.container(border=True)
await client.authenticate_with_token(token)
userInput = f"User B: {question}"
chat_Area.markdown(userInput)
username = (await client.fetch_user())['user']['username']
st.session_state.user_ID = username
st.sidebar.markdown(username)
chat = await client.create_or_continue_chat(character_id)
answer = await chat.send_message(question)
response = f"{answer.src_character_name}: {answer.text}"
chat_Area.markdown(response)
print(f"{answer.src_character_name}: {answer.text}")
return response
# Stop the WebSocket server
async def stop_websockets():
global server
if server:
# Close all connections gracefully
server.close()
# Wait for the server to close
await server.wait_closed()
print("Stopping WebSocket server...")
else:
print("WebSocket server is not running.")
st.session_state.gradio_Port = gradioPort
gradioPorts.markdown(st.session_state.gradio_Port)
openPage = st.toggle('View Gradio app')
link = f"http://127.0.0.1:{gradioPort}"
st.link_button("Open Gradio in new tab", link)
if openPage:
txt = st.text_input("sokolwiekto")
chatbox1 = st.container(border=True)
url = f"http://127.0.0.1:{st.session_state.gradio_Port}"
st.components.v1.iframe(url, height=950, scrolling=True)
if startGradio:
chatbox = st.container(border=True)
chatbox.markdown("chuj")
with gr.Blocks() as demo:
with gr.Tabs(elem_classes="tab-buttons") as tabs:
with gr.TabItem("Websocket Server", elem_id="websocket_server", id=0):
with gr.Row():
chatarea = st.container(border=True)
chatarea.markdown(st.session_state['chat_history'])
# Use the client_messages list to update the messageTextbox
client_msg = gr.Textbox(lines=5, max_lines=130, label="Client messages", interactive=False)
# Use the server_responses list to update the serverMessageTextbox
server_msg = gr.Textbox(lines=5, max_lines=130, label="Server responses", interactive=False)
with gr.Row():
chudee = st.container(border=True)
user_Input = gr.Textbox(label="User Input")
with gr.Row():
ask_Qestion = gr.Button("Ask chat/conversational node")
chuj = st.container(border=True)
with gr.Row():
fireworks_API = gr.Textbox(label="Fireworks API key")
with gr.Row():
websocketPort = gr.Slider(minimum=1000, maximum=9999, label="Websocket server port", interactive=True, randomize=False)
port = gr.Textbox()
with gr.Row():
startServer = gr.Button("Start WebSocket Server")
stopWebsockets = gr.Button("Stop WebSocket Server")
with gr.Row():
clientPort = gr.Slider(minimum=1000, maximum=9999, label="Websocket server port", interactive=True, randomize=False)
startClient = gr.Button("Start WebSocket client")
stopClient = gr.Button("Stop WebSocket client")
with gr.Row():
PortInUse = gr.Textbox()
with gr.TabItem("GPT4Free Client", elem_id="gpt4free", id=2):
with gr.Row():
# Use the client_messages list to update the messageTextbox
client_msg1 = gr.Textbox(lines=5, max_lines=130, label="Client messages", interactive=False)
# Use the server_responses list to update the serverMessageTextbox
server_msg1 = gr.Textbox(lines=5, max_lines=130, label="Server responses", interactive=False)
with gr.Row():
userInput1 = gr.Textbox(label="User Input")
with gr.Row():
askG4F = gr.Button("Ask chat/conversational node")
with gr.Row():
websocketPort1 = gr.Slider(minimum=1000, maximum=9999, label="Websocket server port", interactive=True, randomize=False)
port1 = gr.Textbox()
with gr.Row():
startServer1 = gr.Button("Start WebSocket Server")
stopWebsockets1 = gr.Button("Stop WebSocket Server")
with gr.Row():
clientPort1 = gr.Slider(minimum=1000, maximum=9999, label="Websocket server port", interactive=True, randomize=False)
startClient1 = gr.Button("Start WebSocket client")
stopClient1 = gr.Button("Stop WebSocket client")
with gr.Row():
PortInUse1 = gr.Textbox()
with gr.TabItem("CharacterAI Client", elem_id="characterai_client", id=1):
with gr.Row():
# Use the client_messages list to update the messageTextbox
clientMsg = gr.Textbox(lines=5, max_lines=130, label="Client messages", interactive=False)
# Use the gr.Textbox(label="User Input")
serverMsg = gr.Textbox(lines=5, max_lines=130, label="Server responses", interactive=False)
with gr.Row():
userInput2 = gr.Textbox(label="User Input")
with gr.Row():
ask_question = gr.Button("Ask Character")
with gr.Row():
token = gr.Textbox(label="User Token")
character_id = gr.Textbox(label="Character ID")
with gr.Row():
connect = gr.Button("Connect to Character.ai")
user = gr.Textbox(label="User ID")
with gr.Row():
websocketsPort = gr.Slider(minimum=1000, maximum=9999, label="Websocket server port", interactive=True, randomize=False)
ports = gr.Textbox()
with gr.Row():
start_Server = gr.Button("Start WebSocket Server")
stop_Websockets = gr.Button("Stop WebSocket Server")
with gr.Row():
characterPort = gr.Slider(minimum=1000, maximum=9999, label="Websocket server port", interactive=True, randomize=False)
Client_Ports = gr.Textbox()
with gr.Row():
startCharacter = gr.Button("Start WebSocket client")
stop_Client = gr.Button("Stop WebSocket client")
startServer.click(run_websockets, inputs=[fireworks_API, websocketPort], outputs=port)
startClient.click(run_client, inputs=[fireworks_API, clientPort], outputs=None)
stopWebsockets.click(stop_websockets, inputs=None, outputs=port)
ask_Qestion.click(handleUser, inputs=[fireworks_API, user_Input], outputs=client_msg)
askG4F.click(handleUser2, inputs=userInput1, outputs=server_msg1)
startServer1.click(run_websockets1, inputs=websocketPort1, outputs=port1)
startClient1.click(run_client1, inputs=clientPort1, outputs=None)
stop_Websockets.click(stop_websockets, inputs=None, outputs=port1)
start_Server.click(run_websockets2, inputs=[token, character_id, websocketsPort], outputs=ports)
startCharacter.click(run_character, inputs=[characterPort, token, character_id], outputs=None)
stop_Websockets.click(stop_websockets, inputs=None, outputs=ports)
connect.click(connector, inputs=token, outputs=user)
ask_question.click(askCharacter, inputs=[token, character_id, userInput2], outputs=serverMsg)
gr_port = int(gradioPort)
st.session_state.gradio_Port = gr_port
demo.queue()
demo.launch(server_port=gr_port)
gradioPorts.markdown(st.session_state.gradio_Port)
asyncio.run(main())