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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) | |
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' | |
).launch(inline=False, enable_queue=True, share=True) |