mlaas_test

def download(df,filename): # Downloading DataFrame
    csv = df.to_csv(index=False)
    b64 = base64.b64encode(csv.encode()).decode()
    href = (f'<a href="data:file/csv;base64,{b64}" download="%s.csv">Download csv file</a>' % (filename))
    return href
    
st.sidebar.subheader('Test Dataset')
status_test, df_test = file_upload('Please upload a test dataset')

if status_test == True:
    try:
        st.title('Testing')
        X_test_test = df_test[feature_cols]
        y_pred_test = logreg.predict(X_test_test)

        X_pred = df_test.copy()
        X_pred[label_col] = y_pred_test
        X_pred = X_pred.sort_index()

        st.subheader('Predicted Labels')
        st.write(X_pred)
        #st.write(X_pred[label_col].value_counts())
        st.markdown(download(X_pred,'Logistic Regression Classifier - Predicted Labels'), unsafe_allow_html=True)
    except:
        st.warning('Please upload a test dataset with the same feature set as the training dataset')