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from flask import Flask, request, jsonify
from gradio_client import Client, file
import os
app = Flask(__name__)
# Initialize Gradio Client
client = Client("ronniechoyy/IDM-VTON-20250428")
@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": file(data.get('background')) if data.get('background') else None,
"layers": data.get('layers', []),
"composite": file(data.get('composite')) if data.get('composite') else None
}
# Call Gradio API
result = client.predict(
dict=input_dict,
garm_img=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', 42),
num_images=data.get('num_images', 1),
api_name="/tryon"
)
# Format response
response = {
"generated_images": result[0], # List of dictionaries with image and caption
"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=5000) |