Update app.py

app.py

@@ -35,15 +35,15 @@ with st.form("input_form"):
         chestpain = st.selectbox(
             "Chest Pain Type",
             ['No Data Available','Non-anginal_pain', 'Typical_angina', 'Atypical_angina','Asymptomatic'],
-            help="Select the type of chest pain. 'No Data Available' corresponds to an unknown value. If selected, the 'most frequent' value of the category will be used for prediction."
+            help = "Select the type of chest pain. 'No Data Available' corresponds to an unknown value. If selected, the 'most frequent' value of the category will be used for prediction."
         )
         chestpain = np.nan if chestpain == 'No Data Available' else chestpain
-        restingBP = st.number_input("Resting Blood Pressure", min_value = (-1), max_value=300, step=1, format="%d", help="Enter the resting blood pressure (in mmHg). '-1' corresponds to an unknown resting BP level. If selected, then mean value of the category will be used for prediction.")
+        restingBP = st.number_input("Resting Blood Pressure", min_value = (-1), max_value=300, step=1, format="%d", help = "Enter the resting blood pressure (in mmHg). '-1' corresponds to an unknown resting BP level. If selected, then mean value of the category will be used for prediction.")
         restingBP = np.nan if restingBP == (-1) else restingBP
 
     with col2:
         serum_cholesterol = st.number_input(
-            "Serum Cholesterol", min_value=(-1), max_value=1000, step=1, format="%d", help="Enter serum cholesterol level (in mg/dL). '-1' corresponds to an unknown serum choesterol level. If selected, then mean value of the category will be used for prediction."
+            "Serum Cholesterol", min_value=(-1), max_value=1000, step=1, format="%d", help = "Enter serum cholesterol level (in mg/dL). '-1' corresponds to an unknown serum choesterol level. If selected, then mean value of the category will be used for prediction."
         )
         serum_cholesterol = np.nan if serum_cholesterol == (-1) else serum_cholesterol
         fasting_blood_sugar = st.radio(
@@ -53,11 +53,11 @@ with st.form("input_form"):
         restingrelectro = st.selectbox(
             "Resting Electrocardiographic Results",
             ['No Data Available','ST-T_wave_abnormality', 'Normal', 'Left_ventricular_hypertrophy'],
-            help="Select the resting electrocardiographic result. 'No Data Available' corresponds to an unknown ECG result. If selected, the 'most frequent' value of the category will be used for prediction."
+            help = "Select the resting electrocardiographic result. 'No Data Available' corresponds to an unknown ECG result. If selected, the 'most frequent' value of the category will be used for prediction."
         )
         restingrelectro = np.nan if restingrelectro == 'No Data Available' else restingrelectro
         maxheartrate = st.number_input(
-            "Maximum Heart Rate Achieved", min_value=(-1), max_value=250, step=1, format="%d", help ="Enter the maximum heart rate achieved. '-1' corresponds to an unknown maximum heart rate. If selected, then mean value of the category will be used for prediction.
+            "Maximum Heart Rate Achieved", min_value=(-1), max_value=250, step=1, format="%d", help = "Enter the maximum heart rate achieved. '-1' corresponds to an unknown maximum heart rate. If selected, then mean value of the category will be used for prediction."
         )
         maxheartrate = np.nan if maxheartrate == (-1) else maxheartrate
 
@@ -65,7 +65,7 @@ with st.form("input_form"):
     # Second row of inputs
     exerciseangia = st.radio("Exercise-Induced Angina", ['Yes', 'No','No Data Available'], horizontal=True, help = "Indicate if exercise induced angina is present or not. 'No Data Available' corresponds to an unknown value. If selected, the 'most frequent' value of the category will be used for prediction.")
     exerciseangia = np.nan if exerciseangia == 'No Data Available' else exerciseangia
-    oldpeak = st.number_input("ST Depression Induced by Exercise",min_value = (-0.1), max_value = 10 ,step = 0.1, help="Enter ST depression value induced by exercise relative to rest. '-0.1' corresponds to an unknown value. If selected, then mean value of the category will be used for prediction.")
+    oldpeak = st.number_input("ST Depression Induced by Exercise",min_value = (-0.1), max_value = 10 ,step = 0.1, help = "Enter ST depression value induced by exercise relative to rest. '-0.1' corresponds to an unknown value. If selected, then mean value of the category will be used for prediction.")
     oldpeak = np.nan if oldpeak == (-0.1) else oldpeak
     slope = st.selectbox("Slope of Peak Exercise ST Segment", ['No Data Available','Downsloping', 'Upsloping', 'Flat'], help = "A normal ST segment during exercise slopes sharply upwards. The slope of the ST segment is the shift of the ST segment relative to the increase in heart rate caused by exercise. 'No Data Available' corresponds to an unknown slope value. If selected, the 'most frequent' value of the category will be used for prediction.")
     slope = np.nan if slope == 'No Data Available' else slope