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

plt = platform.system()
if plt == 'Linux': 
    pathlib.WindowsPath = pathlib.PosixPath
    
learn = load_learner('movie_genre_model.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))}
    
gr.Interface(
    fn=predict,
    inputs=gr.inputs.Image(shape=(512, 512)),
    outputs=gr.outputs.Label(num_top_classes=3),
    title= "Movie Poster Genre Classifier",
    examples=['3311988.jpg', '2460746.jpg', '4840666.jpg', '2104994.jpg'],
    interpretation='default',
    enable_queue=True
).launch(inline=False)