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

learn = load_learner('export.pkl')

labels = ["This is Battletoads!", "Not Battletoads"]

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 = "Is it Battletoads game?"
description = '<p><center>Upload your Sega box  photo and see it for yourself! <br> One example photo is at the bottom. <br> <img src="https://huggingface.co/spaces/HuggingDavid/battletoads/resolve/main/pic.jpg" alt="rick" width="400"/></center></p>'
examples = ['battle.jpg']
interpretation='default'
enable_queue=True

gr.Interface(fn=predict,inputs=gr.inputs.Image(shape=(512, 512)),outputs=gr.outputs.Label(num_top_classes=3),title=title,description=description,examples=examples,interpretation=interpretation,enable_queue=enable_queue).launch()