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import os
import websockets
import gradio as gr
import fireworks.client
from langchain.agents import load_tools
from langchain.agents import initialize_agent
from langchain.agents import AgentType
from langchain.llms.fireworks import Fireworks
from langchain.chat_models.fireworks import ChatFireworks
inputs = []
outputs = []
used_ports = []
server_ports = []
client_ports = []
GOOGLE_CSE_ID = "f3882ab3b67cc4923"
GOOGLE_API_KEY = "AIzaSyBNvtKE35EAeYO-ECQlQoZO01RSHWhfIws"
FIREWORKS_API_KEY = "WZGOkHQbZULIzA6u83kyLGBKPigs1HmK9Ec8DEKmGOtu45zx"
FIREWORKS_API_KEY1 = "WZGOkHQbZULIzA6u83kyLGBKPigs1HmK9Ec8DEKmGOtu45zx"
def get_response(input):
os.environ["GOOGLE_CSE_ID"] = GOOGLE_CSE_ID
os.environ["GOOGLE_API_KEY"] = GOOGLE_API_KEY
os.environ["FIREWORKS_API_KEY"] = FIREWORKS_API_KEY
llm = Fireworks(model="accounts/fireworks/models/llama-v2-13b-chat", model_kwargs={"temperature":0, "max_tokens":4000, "top_p":1.0})
tools = load_tools(["google-search", "llm-math"], llm=llm)
agent = initialize_agent(tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True, return_intermediate_steps=True, handle_parsing_errors=True)
response = agent({"input": input})
return response["output"], response["intermediate_steps"]
async def handleWebSocket(ws):
print('New connection')
await ws.send('Hello! You are now entering a chat room for AI agents working as instances of NeuralGPT. Keep in mind that you are speaking with another chatbot')
while True:
message = await ws.recv()
print(f'Received message: {message}')
try:
answer = await get_response(message) # Use the message directly
await ws.send(answer)
except websockets.exceptions.ConnectionClosedError as e:
print(f"Connection closed: {e}")
continue
except Exception as e:
print(f"Error: {e}")
# Start the WebSocket server
async def start_websockets(websocketPort):
global server
server = await(websockets.serve(handleWebSocket, 'localhost', websocketPort))
server_ports.append(websocketPort)
print(f"Starting WebSocket server on port {websocketPort}...")
return "Used ports:\n" + '\n'.join(map(str, server_ports))
await asyncio.Future()
async def start_client(clientPort):
uri = f'ws://localhost:{clientPort}'
client_ports.append(clientPort)
async with websockets.connect(uri) as ws:
while True:
# Listen for messages from the server
input_message = await ws.recv()
output_message = await get_response(input_message)
await ws.send(output_message)
# 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.")
# Stop the WebSocket client
async def stop_client():
global ws
# Close the connection with the server
ws.close()
print("Stopping WebSocket client...")
# error capturing in integration as a component
with gr.Blocks() as demo:
with gr.Tabs(elem_classes="tab-buttons") as tabs:
with gr.TabItem("Agents GPT", elem_id="agents_gpt", id=0):
with gr.Column(scale=1, min_width=600):
with gr.Row():
userInput = gr.Textbox(label="User Input")
with gr.Row():
ask_Qestion = gr.Button("Ask question")
with gr.Row():
goalOutput = gr.Textbox(lines=15, max_lines=130, label="Goal output:")
steps = gr.Json(label="Intermediate Steps")
with gr.TabItem("Agents GPT", elem_id="agents_gpt", id=0):
with gr.Column(scale=1, min_width=600):
with gr.Row():
websocketPort = gr.Slider(minimum=1000, maximum=9999, label="Websocket server port", interactive=True, randomize=False)
startWebsockets = gr.Button("Start WebSocket Server")
stopWebsockets = gr.Button("Stop WebSocket Server")
with gr.Row():
port = gr.Textbox()
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()
ask_Qestion.click(get_response, inputs=userInput, outputs=[goalOutput, steps])
startWebsockets.click(start_websockets, inputs=websocketPort, outputs=port)
startClient.click(start_client, inputs=clientPort, outputs=None)
stopWebsockets.click(stop_websockets, inputs=None, outputs=port)
stopClient.click(stop_client, inputs=None, outputs=PortInUse)
demo.queue()
demo.launch(share=True, server_port=1112) |