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_score_regression_resnet18.pkl')

def predict(img):
    img = PILImage.create(img)
    pred, _, _= learn.predict(img)
    print(pred)
    return str(round(pred[0], 1))
    
gr.Interface(
    fn=predict,
    inputs=gr.Image(shape=(182, 268)),
    outputs="text",
    title= "Movie Poster Score Predictor",
    interpretation='default',
    enable_queue=True
).launch(inline=False)