saaara commited on
Commit
361dc30
1 Parent(s): deb131f

Update app.py

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Files changed (1) hide show
  1. app.py +1 -1
app.py CHANGED
@@ -7,7 +7,7 @@ import tensorflow as tf
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  model = tf.keras.models.load_model('real_estate_price_prediction_model.h5')
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  # Load the original dataset to get unique categories for 'secteur' and 'city'
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- original_df = pd.read_excel('/content/Moroccan Real Estate Price Clean Dataset .xlsx') # Replace with your dataset path
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  # Get unique categories for 'secteur' and 'city'
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  unique_secteurs = original_df['secteur'].unique()
 
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  model = tf.keras.models.load_model('real_estate_price_prediction_model.h5')
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  # Load the original dataset to get unique categories for 'secteur' and 'city'
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+ original_df = pd.read_excel('Moroccan Real Estate Price Clean Dataset .xlsx') # Replace with your dataset path
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  # Get unique categories for 'secteur' and 'city'
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  unique_secteurs = original_df['secteur'].unique()