app.py

import gradio as gr
from transformers import pipeline

pipeline = pipeline(task="image-classification", model="bortle/moon-detector-v5.a")

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

gr.Interface(
    predict,
    inputs=gr.Image(shape=(1080, None), type="pil", label="Upload image"),
    outputs=gr.Label(num_top_classes=5),
    title="Moon Detector",
    allow_flagging="manual",
).launch()