Update app.py

app.py

@@ -23,8 +23,8 @@ optimizer = st.sidebar.selectbox(
 model.compile(optimizer=optimizer, loss='mse')
 
 # Training data (Celsius to Fahrenheit)
-celsius = np.array([-40, -10, 0, 8, 15, 22, 38], dtype=float)  # Celsius
-fahrenheit = np.array([-40, 14, 32, 46.4, 59, 71.6, 100.4], dtype=float)  # Corresponding Fahrenheit
+celsius = np.array([-40, -10, 0, 8, 15, 22, 38], dtype=float)
+fahrenheit = np.array([-40, 14, 32, 46.4, 59, 71.6, 100.4], dtype=float)
 
 # User input for the Celsius value to predict Fahrenheit
 input_celsius = st.number_input('Enter Celsius value:', value=0.0, format="%.1f")
@@ -40,7 +40,9 @@ if st.button('Train Model and Predict Fahrenheit'):
 
     # Make prediction
     predicted_fahrenheit = model.predict([input_celsius])[0][0]
+    actual_fahrenheit = input_celsius * 9/5 + 32
     st.write(f'For input of {input_celsius}°C, the predicted Fahrenheit value is {predicted_fahrenheit:.1f}°F')
+    st.write(f'Actual Fahrenheit value (by formula) is {actual_fahrenheit:.1f}°F')
 
     # Predictions for visualization
     predictions = model.predict(celsius)