app.py

import gradio as gr
from inference import load_model, run_inference

net_feat, net_cls = load_model()


def classify_image(image):
    return run_inference(image, net_feat, net_cls)

example_images = ["example.jpeg", "example2.webp","image2.jpg"] 

interface = gr.Interface(
    fn=classify_image, 
    inputs=gr.Image(type="filepath"),  
    outputs=gr.Textbox(label="Predicted clothing type:"),  
    title="Clothing1M Classifier",
    description="Upload an image of clothing image.",
    examples=example_images 
)

if __name__ == "__main__":
    interface.launch()