app.py

import gradio as gr
from transformers import pipeline

pipeline = pipeline(task="image-classification",
                    model="william7642/my_awesome_food_model")


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


gr.Interface(
    predict,
    inputs=gr.inputs.Image(label="Upload food image", type="filepath"),
    outputs=gr.outputs.Label(num_top_classes=5),
    title="Food Recognition",
    examples=["ramen.jpg", "paella.jpg", "ice-cream.jpg", "pizza.jpg"]
).launch()