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Update app.py
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app.py
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@@ -4,10 +4,6 @@ from joblib import load
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from tensorflow.keras.models import load_model
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import tensorflow as tf
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import pickle
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import pandas as pd # Ensure pandas is imported for Excel file handling
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# Load the DataFrame from the Excel file
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df = pd.read_excel('dataset.xls') # Replace with the correct path to your dataset
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# Load the LabelEncoder and ColumnTransformer before prediction
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with open('label_encoder.pkl', 'rb') as f:
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from tensorflow.keras.models import load_model
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import tensorflow as tf
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import pickle
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# Load the LabelEncoder and ColumnTransformer before prediction
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with open('label_encoder.pkl', 'rb') as f:
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