app.py

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

learn = load_learner('export.pkl')

labels = learn.dls.vocab

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

title = "Pokeclassifier"
description = "A pokemon classifier trained with fastai."
gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(512, 512)), title=title, description=description, outputs=gr.outputs.Label(num_top_classes=3)).launch(share=False)