app.py

import os
from flask import Flask, request, jsonify
from huggingface_hub import InferenceClient
import base64
import io

app = Flask(__name__)
client = InferenceClient(api_key=os.environ.get("HF_TOKEN"))

@app.route('/', methods=['GET'])
def home():
    return "Server is running!", 200

@app.route('/generate-image', methods=['POST'])
def generate_image():
    prompt = request.json.get('prompt')
    if not prompt:
        return jsonify({"error": "Prompt is missing"}), 400

    try:
        image = client.text_to_image(
            prompt,
            model="stabilityai/stable-diffusion-xl-base-1.0",
        )
        
        buffered = io.BytesIO()
        image.save(buffered, format="PNG")
        img_str = base64.b64encode(buffered.getvalue()).decode('utf-8')

        return jsonify({"image": img_str})

    except Exception as e:
        print(f"An error occurred: {e}")
        return jsonify({"error": str(e)}), 500

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