app.py

import gradio as gr
from transformers import pipeline

pipeline = pipeline(task="image-classification", model="apple/mobilevit-small")

def predict(image):
  predictions = pipeline(image)
  return {p["label"]: p["score"] for p in predictions}

gr.Interface(
    fn=predict,
    inputs=gr.inputs.Image(label="Upload image", type="filepath"),
    outputs=gr.outputs.Label(num_top_classes=5),
    title="This is a title",
).launch()