app.py

__all__ = ['learn', 'classify_image', 'categories', 'image', 'label', 'examples', 'intf']

from fastai.vision.all import *
import gradio as gr
import timm

def is_wolverine(x):
    return x[0].isupper()  # Custom logic for model

import sys
sys.modules["__main__"].is_wolverine = is_wolverine

learn = load_learner('model.pkl')
categories = learn.dls.vocab

def classify_image(img):
    pred, idx, probs = learn.predict(img)
    return f"This is a {pred}"  # Modified output format

image = gr.Image()
label = gr.Textbox()  # Changed to Textbox for string output

examples = ['./examples/wolverine.jpg', './examples/bear.jpg', './examples/bear_or_wolverine.jpg']
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
intf.launch()