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Update app.py
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app.py
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from fastai.vision.all import *
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import gradio as gr
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# Fix for Windows systems
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temp = pathlib.PosixPath
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pathlib.PosixPath = pathlib.WindowsPath
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# Load the
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learn = load_learner('babis_fico_classifier.pkl')
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# Define the prediction function
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def predict_image(img):
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pred, pred_idx, probs = learn.predict(img)
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return {learn.dls.vocab[i]: float(probs[i]) for i in range(len(probs))}
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# Set up the Gradio interface
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image_input = gr.Image(type="pil")
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label_output = gr.Label(num_top_classes=2)
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interface = gr.Interface(fn=predict_image, inputs=image_input, outputs=label_output,
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title="Babiš vs Fico Classifier",
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description="Upload an image of Robert Fico or Andrej Babiš to classify.")
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from fastai.vision.all import *
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from pathlib import Path
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# Load the model with WindowsPath issue
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learn = load_learner('babis_fico_classifier.pkl')
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# Re-save the model in the current Linux environment (removing WindowsPath issues)
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learn.export('babis_fico_classifier_linux.pkl')
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# Load the newly saved model
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learn = load_learner('babis_fico_classifier_linux.pkl')
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# Define the prediction function
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def predict_image(img):
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pred, pred_idx, probs = learn.predict(img)
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return {learn.dls.vocab[i]: float(probs[i]) for i in range(len(probs))}
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# Set up the Gradio interface
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import gradio as gr
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image_input = gr.Image(type="pil")
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label_output = gr.Label(num_top_classes=2)
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interface = gr.Interface(fn=predict_image, inputs=image_input, outputs=label_output,
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title="Babiš vs Fico Classifier",
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description="Upload an image of Robert Fico or Andrej Babiš to classify.")
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interface.launch()
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