import spaces
import gradio as gr
import torch
import subprocess
import numpy as np
import requests



# Function to start the ochat server
@spaces.GPU
def start_ochat_server():
    print(f"Is CUDA available: {torch.cuda.is_available()}")
    print(f"CUDA device: {torch.cuda.get_device_name(torch.cuda.current_device())}")

    command = [
        "python", "-m", "ochat.serving.openai_api_server", 
        "--model", "openchat/openchat_3.5"
    ]

    # Start the server in a separate process
    try:
        subprocess.Popen(command)
        return "ochat server started successfully"
    except Exception as e:
        return f"Failed to start ochat server: {e}"


start_ochat_server()

# Function to send a message to the ochat server and get a response
def chat_with_ochat(message):
    url = "http://0.0.0.0:18888/v1/chat/completions"
    headers = {"Content-Type": "application/json"}
    data = {
        "model": "openchat_3.5",
        "messages": [{"role": "user", "content": message}]
    }

    try:
        response = requests.post(url, json=data, headers=headers)
        if response.status_code == 200:
            return response.json()['choices'][0]['message']['content']
        else:
            return f"Error: Server responded with status code {response.status_code}"
    except requests.RequestException as e:
        return f"Error: {e}"

with gr.Blocks() as demo:
    chatbot = gr.Chatbot()
    msg = gr.Textbox()
    clear = gr.Button("Clear")
    history = gr.State([])  # Initialize an empty state for history

    msg.submit(chat_with_ochat, inputs=[msg, history], outputs=[chatbot, history])
    clear.click(lambda: ("", []), inputs=None, outputs=[chatbot, history])

    demo.launch()