Truong-Phuc Nguyen
commited on
Commit
•
6b86935
1
Parent(s):
07e5bbb
Update Home.py
Browse files
Home.py
CHANGED
@@ -169,9 +169,9 @@ if predict:
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X_6 = np.array([[vtn, vn, vcn, cl, ttp, ttt]])
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X_6 = scaler_6.transform(X_6)
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y_6 = clf_6.predict(X_6)
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-
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# st.success(f'We recommend you choosing **{convert_prediction(y_6)}** size!')
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styled_text = f"<h3 style='text-align: center;'>We recommend you choosing <span style='color: red; font-weight: bold;'>{
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st.markdown(styled_text, unsafe_allow_html=True)
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elif num_of_features == '8 measurements':
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@@ -179,14 +179,14 @@ if predict:
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X_8 = scaler_8.transform(X_8)
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y_8 = clf_8.predict(X_8)
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# st.success(f'We recommend you choosing **{convert_prediction(np.argmax(y_8, axis=1))}** size!')
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# st.success(f'We recommend you choosing **{convert_prediction(y_6)}** size!')
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styled_text = f"<h3 style='text-align: center;'>We recommend you choosing <span style='color: red; font-weight: bold;'>{
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else:
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X_21 = np.array([[h, w, bmi, vtn, vn, vcn, cn, cnnp, cnnt, cntp, cntt, ccnp, ccnt, snt, sndp, sndt, xup, xut, cl, ttp, ttt]])
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X_21 = scaler_21.transform(X_21)
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y_21 = clf_21.predict(X_21)
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# st.success(f'We recommend you choosing **{convert_prediction(np.argmax(y_21, axis=1))}** size!')
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-
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# st.success(f'We recommend you choosing **{convert_prediction(y_6)}** size!')
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styled_text = f"<h3 style='text-align: center;'>We recommend you choosing <span style='color: red; font-weight: bold;'>{
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X_6 = np.array([[vtn, vn, vcn, cl, ttp, ttt]])
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X_6 = scaler_6.transform(X_6)
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y_6 = clf_6.predict(X_6)
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y_pred_6 = convert_prediction(y_6)
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# st.success(f'We recommend you choosing **{convert_prediction(y_6)}** size!')
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styled_text = f"<h3 style='text-align: center;'>We recommend you choosing <span style='color: red; font-weight: bold;'>{y_pred_6}</span> size!</h3>"
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st.markdown(styled_text, unsafe_allow_html=True)
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elif num_of_features == '8 measurements':
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X_8 = scaler_8.transform(X_8)
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y_8 = clf_8.predict(X_8)
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# st.success(f'We recommend you choosing **{convert_prediction(np.argmax(y_8, axis=1))}** size!')
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y_pred_8 = convert_prediction(y_8)
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# st.success(f'We recommend you choosing **{convert_prediction(y_6)}** size!')
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styled_text = f"<h3 style='text-align: center;'>We recommend you choosing <span style='color: red; font-weight: bold;'>{y_pred_8}</span> size!</h3>"
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else:
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X_21 = np.array([[h, w, bmi, vtn, vn, vcn, cn, cnnp, cnnt, cntp, cntt, ccnp, ccnt, snt, sndp, sndt, xup, xut, cl, ttp, ttt]])
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X_21 = scaler_21.transform(X_21)
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y_21 = clf_21.predict(X_21)
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# st.success(f'We recommend you choosing **{convert_prediction(np.argmax(y_21, axis=1))}** size!')
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y_pred_21 = convert_prediction(y_21)
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# st.success(f'We recommend you choosing **{convert_prediction(y_6)}** size!')
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styled_text = f"<h3 style='text-align: center;'>We recommend you choosing <span style='color: red; font-weight: bold;'>{y_pred_21}</span> size!</h3>"
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