import gradio as gr
from transformers import pipeline

pipeline = pipeline(task="image-classification", model="google/vit-base-patch16-224")

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

gr.Interface(
    predict,
    inputs=gr.inputs.Image(type="filepath"),
    outputs=gr.outputs.Label(num_top_classes=1),
).launch()