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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) |