app.py

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

load_dotenv()
api_key = os.getenv('HF_API_KEY')
model_path = os.getenv('MODEL_PATH')

app = Flask(__name__)

def get_model_predictions(text):
    headers = {"Authorization": f"Bearer {api_key}"}
    payload = {"inputs": text}
    response = requests.post(f"https://api.huggingface.co/models/{model_path}", headers=headers, json=payload)
    return response.json()

@app.route('/predict', methods=['POST'])
def predict():
    data = request.get_json()
    text = data['text']
    prediction = get_model_predictions(text)
    return jsonify(prediction)

@app.route('/', methods=['GET'])
def index():
    return "Welcome to My AI!"

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