app.py

from transformers import pipeline
from PIL import Image

def predict(image):
    pipe = pipeline("image-classification", model="dennisjooo/Birds-Classifier-EfficientNetB2")
    predictions = pipe(image)
    return {p["label"].title(): p["score"] for p in predictions}

import gradio as gr

gr.Interface(predict, gr.Image(type="pil"), "label").launch()