import os
import requests
import gradio as gr

# Define function to query the AI model
def query(payload):
    token = os.getenv("HF_TOKEN", None)
    headers = {"Authorization": f"Bearer {token}"}
    API_URL = "https://api-inference.huggingface.co/models/facebook/bart-large-cnn"
    response = requests.post(API_URL, headers=headers, json=payload)
    return response.json()

# Create Gradio interface
def chat(input_text):
    data = query({"inputs": input_text, "parameters": {"do_sample": False}})
    return data[0]['generated_text']

input_text = gr.Textbox(lines=7, label="Input Text")
output_text = gr.Textbox(label="Model Response")

gr.Interface(fn=chat, inputs=input_text, outputs=output_text, title="AI Chat", description="Chat with AI model").launch()