import gradio as gr
from transformers import pipeline

# Modèle simple sans segmentation
model = pipeline("zero-shot-image-classification", 
                model="openai/clip-vit-base-patch32")

categories = ["t-shirt", "dress", "jeans", "jacket", "shoes"]

def classify(image):
    results = model(image, candidate_labels=categories)
    return "\n".join([f"{r['label']}: {r['score']*100:.1f}%" for r in results])

gr.Interface(
    fn=classify,
    inputs=gr.Image(type="pil"),
    outputs=gr.Textbox(),
    title="Simple Fashion Classifier"
).launch()