app.py

from flask import Flask, request, jsonify
from gradio_client import Client, handle_file
import os

app = Flask(__name__)

# Initialize Gradio Client
client = Client("jallenjia/Change-Clothes-AI")

@app.route('/tryon', methods=['POST'])
def tryon():
    try:
        # Extract parameters from JSON request
        data = request.get_json()
        
        # Validate required parameters
        if not data or not all(key in data for key in ['background', 'garm_img', 'garment_des']):
            return jsonify({"error": "Missing required parameters: background, garm_img, garment_des"}), 400

        # Prepare input dictionary
        input_dict = {
            "background": handle_file(data['background']) if data.get('background') else None,
            "layers": data.get('layers', []),
            "composite": handle_file(data.get('composite')) if data.get('composite') else None,
            "id": data.get('id')
        }

        # Call Gradio API
        result = client.predict(
            dict=input_dict,
            garm_img=handle_file(data['garm_img']),
            garment_des=data['garment_des'],
            is_checked=data.get('is_checked', True),
            is_checked_crop=data.get('is_checked_crop', False),
            denoise_steps=data.get('denoise_steps', 30),
            seed=data.get('seed', -1),
            category=data.get('category', 'upper_body'),
            api_name="/tryon"
        )

        # Format response
        response = {
            "output_image": result[0],  # Filepath of output image
            "masked_image": result[1]   # Filepath of masked image
        }

        return jsonify(response), 200

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

if __name__ == '__main__':
    app.run(host='0.0.0.0', port=7860)