import gradio as gr
import requests
import os

API_URL = "https://api-inference.huggingface.co/models/azkamannan2004/MindEase-CD-Part21-24"

headers = {
    "Authorization": f"Bearer {os.getenv('HF_TOKEN')}"
}

def chat(message):
    payload = {
        "inputs": message,
        "parameters": {
            "max_new_tokens": 200,
            "temperature": 0.7
        }
    }

    response = requests.post(API_URL, headers=headers, json=payload)

    try:
        result = response.json()
        if isinstance(result, list):
            return result[0]["generated_text"]
        else:
            return str(result)
    except:
        return "Error from model"

demo = gr.Interface(
    fn=chat,
    inputs=gr.Textbox(lines=2, placeholder="Apna message likho..."),
    outputs="text",
    title="MindEase – Mental Health Chatbot",
    description="Stress & Depression Support (Fine-tuned Model)"
)

demo.launch()