Create app.py

app.py

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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.inputs.Image(shape=(512, 512)),
+    outputs="text",
+    title= "Movie Poster Score Predictor",
+    interpretation='default',
+    enable_queue=True
+).launch(inline=False)