myapp.py

from flask import Flask, request, jsonify, send_file
from flask_cors import CORS
from gradio_client import Client
from all_models import models  # Import the models list

myapp = Flask(__name__)
CORS(myapp)

# Initialize Gradio Client with the first model in the list
client = Client("Geek7/mdztxi2")

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

    # Validate required fields
    if not data or 'model_str' not in data or 'prompt' not in data or 'seed' not in data:
        return jsonify({"error": "Missing required fields"}), 400

    model_str = data['model_str']
    prompt = data['prompt']
    seed = data['seed']

    # Check if the model_str exists in the models list
    if model_str not in models:
        return jsonify({"error": f"Model '{model_str}' is not available."}), 400

    try:
        # Send a request to the Gradio Client and get the result
        result = client.predict(
            model_str=model_str,
            prompt=prompt,
            seed=seed,
            api_name="/predict"
        )
        
        # Save the result to a file (assuming it returns a filepath)
        result_path = result  # Result is already the filepath
        return send_file(result_path, mimetype='image/png')

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

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