from transformers import pipeline 
classification = pipeline ("zero-shot-image-classification", model ="openai/clip-vit-large-patch14")

import gradio as gr
def classify_image(image):
    labels = ["groupe1", "groupe2", "groupe3"]
    classification = classification(image, labels)
    return classification
image_input = gr.Image()
label_output = gr.Label(num_top_classes=3)

gr.Interface(fn=classify_image, inputs=image_input, outputs=label_output, 
             title="Zero-Shot Image Classification",
             description="Classify images into predefined classes without fine-tuning the model.",
             allow_flagging=False).launch()