Update app.py

app.py

@@ -16,32 +16,43 @@ with open('pca.pkl', 'rb') as f:
 def preprocess_data(X):
     # Check if the input has 8 features
     if X.shape[1] != 8:
-        raise ValueError("Input data should have 8 features.")
+        raise ValueError("The input data should have 8 features (cement, blast furnace slag, fly ash, water, superplasticizer, coarse aggregate, fine aggregate, flow).")
 
-    # Scale the input data using the loaded scaler
-    X_scaled = scaler.transform(X)
+    try:
+        # Scale the input data using the loaded scaler
+        X_scaled = scaler.transform(X)
 
-    # Apply PCA using the loaded PCA transformer
-    X_pca = pca.transform(X_scaled)
+        # Apply PCA using the loaded PCA transformer
+        X_pca = pca.transform(X_scaled)
 
-    return X_pca
+        return X_pca
+    except Exception as e:
+        raise ValueError(f"Error preprocessing the data: {str(e)}")
 
 def predict_slump_app():
-    # Get the input values from the user
-    cement = st.number_input("Cement (kg/m^3)", min_value=0.0, step=0.1)
-    blast_furnace_slag = st.number_input("Blast Furnace Slag (kg/m^3)", min_value=0.0, step=0.1)
-    fly_ash = st.number_input("Fly Ash (kg/m^3)", min_value=0.0, step=0.1)
-    water = st.number_input("Water (kg/m^3)", min_value=0.0, step=0.1)
-    superplasticizer = st.number_input("Superplasticizer (kg/m^3)", min_value=0.0, step=0.1)
-    coarse_aggregate = st.number_input("Coarse Aggregate (kg/m^3)", min_value=0.0, step=0.1)
-    fine_aggregate = st.number_input("Fine Aggregate (kg/m^3)", min_value=0.0, step=0.1)
-    flow = st.number_input("FLOW (cm)", min_value=0.0, step=0.1)
+    with st.expander("Concrete Mix Parameters"):
+        cement = st.number_input("Cement (kg/m^3)", min_value=0.0, step=0.1)
+        blast_furnace_slag = st.number_input("Blast Furnace Slag (kg/m^3)", min_value=0.0, step=0.1)
+        fly_ash = st.number_input("Fly Ash (kg/m^3)", min_value=0.0, step=0.1)
+        water = st.number_input("Water (kg/m^3)", min_value=0.0, step=0.1)
+        superplasticizer = st.number_input("Superplasticizer (kg/m^3)", min_value=0.0, step=0.1)
+        coarse_aggregate = st.number_input("Coarse Aggregate (kg/m^3)", min_value=0.0, step=0.1)
+        fine_aggregate = st.number_input("Fine Aggregate (kg/m^3)", min_value=0.0, step=0.1)
+        flow = st.number_input("FLOW (cm)", min_value=0.0, step=0.1)
 
     # Prepare the input data
+    total_mix = cement + blast_furnace_slag + fly_ash + water
+    if total_mix > 1000:
+        raise ValueError("The total mix quantity should not exceed 1000 kg/m^3.")
+
     X = np.array([[cement, blast_furnace_slag, fly_ash, water, superplasticizer, coarse_aggregate, fine_aggregate, flow]])
 
     # Preprocess the data
-    X_preprocessed = preprocess_data(X)
+    try:
+        X_preprocessed = preprocess_data(X)
+    except ValueError as e:
+        st.error(str(e))
+        return None
 
     # Make the prediction
     slump_prediction = regressor.predict(X_preprocessed)[0]
@@ -54,8 +65,9 @@ def main():
     st.write("Enter the concrete mix parameters to predict the slump.")
 
     slump_prediction = predict_slump_app()
-    st.subheader("Predicted Slump Strength:")
-    st.write(f"{slump_prediction:.2f} MPA")
+    if slump_prediction is not None:
+        st.subheader("Predicted Slump Strength")
+        st.markdown(f"The predicted slump strength is **{slump_prediction:.2f} MPa**.")
 
 if __name__ == '__main__':
     main()