app.py

from fastbook import *
import gradio as gr

learn_inf = load_learner('bird_forest_cat_model.pkl')

labels = learn_inf.dls.vocab
def predict(img):
    img = PILImage.create(img)
    pred,pred_idx,probs = learn_inf.predict(img)
    return {labels[i]: float(probs[i]) for i in range(len(labels))}

gr.Interface(fn=predict, inputs="image", outputs="label").launch()