app.py

import gradio as gr
import requests

def generate_answer(prompt):
    # The URL of the Flask server
    url = 'https://entelidemo.replit.app/generate_answer'
    # The payload in JSON format
    payload = {'prompt': prompt}

    # Make a POST request to the server
    response = requests.post(url, json=payload)
    if response.status_code == 200:
        return str(response.json())
    else:
        return "An error occurred"

def main():
    interface = gr.Interface(
        fn=generate_answer,
        inputs="text",
        outputs="text",
        title="Enteli-49B Demo",
        description="Normally model remembers its past conversations, however for demo purposes this feature is not included. Again it can be a bit slow since it is a demo only. System Prompt: You are a helpful AI assistant called Enteli developed by the AI company EnteliMind."
    )

    interface.launch()

if __name__ == "__main__":
    main()