app.py

import gradio as gr
from transformers import pipeline

pipeline = pipeline(task="image-classification", model="mvaloatto/baldhead-spotter")

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

gr.Interface(
    predict,
    inputs=gr.inputs.Image(label="Upload a portait or group photo", type="filepath"),
    outputs=gr.outputs.Label(num_top_classes=2),
    title="Baldhead(s) or not?",
    allow_flagging="manual"
).launch()