import gradio as gr

gr.load("models/Qwen/QwQ-32B-Preview").launch()


# from flask import Flask, request, jsonify
# import requests
# import os
# from dotenv import load_dotenv

# # Load environment variables
# load_dotenv()

# app = Flask(__name__)
# HUGGINGFACE_API_URL = "https://api-inference.huggingface.co/models/Qwen/QwQ-32B-Preview"
# API_KEY = os.getenv("HUGGINGFACE_API_KEY")

# @app.route('/predict', methods=['POST'])
# def predict():
#     user_input = request.json.get('input')
#     headers = {"Authorization": f"Bearer {API_KEY}"}
#     payload = {"inputs": user_input}

#     response = requests.post(HUGGINGFACE_API_URL, headers=headers, json=payload)
#     return jsonify(response.json())

# if __name__ == '__main__':
#     app.run(debug=True)