Update app.py

app.py

@@ -31,21 +31,21 @@ st.write("This app predicts the engine condition.")
 st.write("Please enter the customer details below:")
 
 # Collect user input
-Engine_RPM = st.number_input("Engine_RPM", min_value=0, value=700)
-Lub_Oil_Pressure = st.number_input("Pressure of the lubricating oil in the engine(kPa)", min_value=0, value=3)
-Fuel_Pressure = st.number_input("Pressure at which fuel is supplied to the engine(kPa)", min_value=0, value=3)
-Coolant_Pressure = st.number_input("Coolant_Pressure(kPa)", min_value=0, value=2)
-Lub_Oil_Temperature = st.number_input("Temperature of the lubricating oil (°C) ", value=75)
-Coolant_Temperature = st.number_input("Coolant_Temperature (°C)", value=78)
+engine_rpm = st.number_input("Engine_RPM", min_value=0, value=700)
+lub_oil_pressure = st.number_input("Pressure of the lubricating oil in the engine(kPa)", min_value=0, value=3)
+fuel_pressure = st.number_input("Pressure at which fuel is supplied to the engine(kPa)", min_value=0, value=3)
+coolant_pressure = st.number_input("Coolant_Pressure(kPa)", min_value=0, value=2)
+lub_oil_temperature = st.number_input("Temperature of the lubricating oil (°C) ", value=75)
+coolant_temperature = st.number_input("Coolant_Temperature (°C)", value=78)
 
 # Prepare input DataFrame
 input_data = pd.DataFrame([{
-    'engine_rpm': Engine_RPM,
-    'lub_oil_pressure': Lub_Oil_Pressure,
-    'fuel_pressure': Fuel_Pressure,
-    'coolant_pressure': Coolant_Pressure,
-    'lub_oil_temperature': Lub_Oil_Temperature,
-    'coolant_temperature': Coolant_Temperature,
+    'engine_rpm': engine_rpm,
+    'lub_oil_pressure': lub_oil_pressure,
+    'fuel_pressure': fuel_pressure,
+    'coolant_pressure': coolant_pressure,
+    'lub_oil_temperature': lub_oil_temperature,
+    'coolant_temperature': coolant_temperature,
 }])
 
 # Classification threshold