app.py

import gradio as gr
from fastai.learner import load_learner
from fastai.vision.core import PILImage
from PIL import Image

learner = load_learner('export.pkl')

def predict_bear_type(img_path):
    img = Image.open(img_path)
    img = PILImage.create(img)
    pred,pred_idx,probs = learner.predict(img)
    return pred

def greet(img_path):
    return predict_bear_type(img_path)

iface = gr.Interface(fn=greet, inputs="image", outputs="text")
iface.launch()