Update app.py
Browse files
app.py
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@@ -38,14 +38,16 @@ def predict_image(img):
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return formatted_class_probabilities
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# Define the Gradio Interface with the desired title and description
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description_html = """
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<p>This model was trained by Moaz Eldsouky You can find more about me here:</p>
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<p>GitHub: <a href="https://github.com/MoazEldsouky">GitHub Profile</a></p>
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<p>LinkedIn: <a href="https://www.linkedin.com/in/moaz-eldesouky-762288251/">LinkedIn Profile</a></p>
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<p>Kaggle: <a href="https://www.kaggle.com/moazeldsokyx">Kaggle Profile</a></p>
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<p>This model was trained to classify plant diseases using the Plant Villages dataset.</p>
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<p>You can see how this model was trained on the following Kaggle Notebook:</p>
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<p><a href="https://www.kaggle.com/code/moazeldsokyx/plant-leaf-diseases-detection-using-cnn">Kaggle Notebook</a></p>
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<p>Upload a photo to see how the model predicts!</p>
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"""
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return formatted_class_probabilities
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# Define the Gradio Interface with the desired title and description
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description_html = """
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<p>This model was trained by Moaz Eldsouky. You can find more about me here:</p>
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<p>GitHub: <a href="https://github.com/MoazEldsouky">GitHub Profile</a></p>
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<p>LinkedIn: <a href="https://www.linkedin.com/in/moaz-eldesouky-762288251/">LinkedIn Profile</a></p>
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<p>Kaggle: <a href="https://www.kaggle.com/moazeldsokyx">Kaggle Profile</a></p>
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<p>This model was trained to classify plant diseases using the Plant Villages dataset.</p>
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<p>You can see how this model was trained on the following Kaggle Notebook:</p>
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<p><a href="https://www.kaggle.com/code/moazeldsokyx/plant-leaf-diseases-detection-using-cnn">Kaggle Notebook</a></p>
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<p>The model achieved an accuracy of <strong>96%</strong> on the test set.</p>
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<p>Upload a photo to see how the model predicts!</p>
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"""
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