Create app.py

app.py

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+from fastai.vision.all import *
+
+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()