Update slapp.py

slapp.py

@@ -18,37 +18,47 @@ model = load_model()
 st.title("Fraud Detection API")
 st.markdown("Welcome to the Fraud Detection API! Please enter the transaction details below:")
 
-# Input fields for the transaction features
-time = st.number_input("Time", min_value=0.0, step=0.1)
-v1 = st.number_input("V1", step=0.01)
-v2 = st.number_input("V2", step=0.01)
-v3 = st.number_input("V3", step=0.01)
-v4 = st.number_input("V4", step=0.01)
-v5 = st.number_input("V5", step=0.01)
-v6 = st.number_input("V6", step=0.01)
-v7 = st.number_input("V7", step=0.01)
-v8 = st.number_input("V8", step=0.01)
-v9 = st.number_input("V9", step=0.01)
-v10 = st.number_input("V10", step=0.01)
-v11 = st.number_input("V11", step=0.01)
-v12 = st.number_input("V12", step=0.01)
-v13 = st.number_input("V13", step=0.01)
-v14 = st.number_input("V14", step=0.01)
-v15 = st.number_input("V15", step=0.01)
-v16 = st.number_input("V16", step=0.01)
-v17 = st.number_input("V17", step=0.01)
-v18 = st.number_input("V18", step=0.01)
-v19 = st.number_input("V19", step=0.01)
-v20 = st.number_input("V20", step=0.01)
-v21 = st.number_input("V21", step=0.01)
-v22 = st.number_input("V22", step=0.01)
-v23 = st.number_input("V23", step=0.01)
-v24 = st.number_input("V24", step=0.01)
-v25 = st.number_input("V25", step=0.01)
-v26 = st.number_input("V26", step=0.01)
-v27 = st.number_input("V27", step=0.01)
-v28 = st.number_input("V28", step=0.01)
-amount = st.number_input("Amount", min_value=0.0, step=0.1)
+# Tabs for input sections
+tab1, tab2, tab3 = st.tabs(["Basic Info", "Features (V1 - V14)", "Features (V15 - V28)"])
+
+with tab1:
+    st.header("Basic Information")
+    time = st.number_input("Time", min_value=0.0, step=0.1)
+    amount = st.number_input("Amount", min_value=0.0, step=0.1)
+
+with tab2:
+    st.header("Features (V1 - V14)")
+    v1 = st.number_input("V1", step=0.01)
+    v2 = st.number_input("V2", step=0.01)
+    v3 = st.number_input("V3", step=0.01)
+    v4 = st.number_input("V4", step=0.01)
+    v5 = st.number_input("V5", step=0.01)
+    v6 = st.number_input("V6", step=0.01)
+    v7 = st.number_input("V7", step=0.01)
+    v8 = st.number_input("V8", step=0.01)
+    v9 = st.number_input("V9", step=0.01)
+    v10 = st.number_input("V10", step=0.01)
+    v11 = st.number_input("V11", step=0.01)
+    v12 = st.number_input("V12", step=0.01)
+    v13 = st.number_input("V13", step=0.01)
+    v14 = st.number_input("V14", step=0.01)
+
+with tab3:
+    st.header("Features (V15 - V28)")
+    v15 = st.number_input("V15", step=0.01)
+    v16 = st.number_input("V16", step=0.01)
+    v17 = st.number_input("V17", step=0.01)
+    v18 = st.number_input("V18", step=0.01)
+    v19 = st.number_input("V19", step=0.01)
+    v20 = st.number_input("V20", step=0.01)
+    v21 = st.number_input("V21", step=0.01)
+    v22 = st.number_input("V22", step=0.01)
+    v23 = st.number_input("V23", step=0.01)
+    v24 = st.number_input("V24", step=0.01)
+    v25 = st.number_input("V25", step=0.01)
+    v26 = st.number_input("V26", step=0.01)
+    v27 = st.number_input("V27", step=0.01)
+    v28 = st.number_input("V28", step=0.01)
 
 # Button to make predictions
 if st.button("Predict"):
@@ -56,35 +66,11 @@ if st.button("Predict"):
         # Create a DataFrame from the input data
         transaction_data = pd.DataFrame({
             'Time': [time],
-            'V1': [v1],
-            'V2': [v2],
-            'V3': [v3],
-            'V4': [v4],
-            'V5': [v5],
-            'V6': [v6],
-            'V7': [v7],
-            'V8': [v8],
-            'V9': [v9],
-            'V10': [v10],
-            'V11': [v11],
-            'V12': [v12],
-            'V13': [v13],
-            'V14': [v14],
-            'V15': [v15],
-            'V16': [v16],
-            'V17': [v17],
-            'V18': [v18],
-            'V19': [v19],
-            'V20': [v20],
-            'V21': [v21],
-            'V22': [v22],
-            'V23': [v23],
-            'V24': [v24],
-            'V25': [v25],
-            'V26': [v26],
-            'V27': [v27],
-            'V28': [v28],
-            'Amount': [amount]
+            'V1': [v1], 'V2': [v2], 'V3': [v3], 'V4': [v4], 'V5': [v5], 'V6': [v6],
+            'V7': [v7], 'V8': [v8], 'V9': [v9], 'V10': [v10], 'V11': [v11], 'V12': [v12],
+            'V13': [v13], 'V14': [v14], 'V15': [v15], 'V16': [v16], 'V17': [v17], 'V18': [v18],
+            'V19': [v19], 'V20': [v20], 'V21': [v21], 'V22': [v22], 'V23': [v23], 'V24': [v24],
+            'V25': [v25], 'V26': [v26], 'V27': [v27], 'V28': [v28], 'Amount': [amount]
         })
 
         # Perform prediction
@@ -99,3 +85,4 @@ if st.button("Predict"):
         st.error("Model not loaded.")
 
 
+