Update app.py
Browse files
app.py
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@@ -19,18 +19,18 @@ import pickle
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#Load the model
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# Predict house price
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import sklearn
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st.text('The scikit-learn version is {}.'.format(sklearn.__version__))
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#Load the model
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with open('best_model.pkl', 'rb') as f:
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model = pickle.load(f)
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avg_train_score = st.text_input("AVG Train Score", "")
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awards_won = st.text_input("Awards Won", "")
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kpi_met = st.text_input("KPI Met 80", "")
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previous_rating = st.text_input("Previous Rating", "")
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# Predict house price
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if st.button('Predict Promosi'):
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prediction = model.predict([[5, 1, 1, 89]])
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st.write(f'Predicted Result: ${prediction[0]:.2f}')
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#import sklearn
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#st.text('The scikit-learn version is {}.'.format(sklearn.__version__))
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