app.py

import gradio as gr
from transformers import pipeline

def predict(image):
    model_id = "google/vit-base-patch16-224"
    classifier = pipeline("image-classification", model=model_id)
    predictions = classifier(image)
    return {prediction['label']: prediction['score'] for prediction in predictions}

title = "Image Rocognition"
description = "A demo that recognizes and classifies images using the model from Hugging Face's 'google/vit-base-patch16-224'."
input_component = gr.Image(type="filepath", label="Upload an image here")
output_component = gr.Label(num_top_classes=3)

gr.Interface(fn=predict, inputs=input_component, outputs=output_component, title=title, description=description).launch()