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app.py

@@ -91,8 +91,7 @@ with st.form("engine_input_form"):
 # Predict Button
 # -----------------------------
 if submit:
-
-    input_df = pd.DataFrame({
+  input_df = pd.DataFrame({
             "engine_rpm": [engine_rpm],
             "lub_oil_pressure": [lub_oil_pressure],
             "fuel_pressure": [fuel_pressure],
@@ -101,46 +100,46 @@ if submit:
             "coolant_temp": [coolant_temp]
         })
 
-    st.success("✅ Input captured successfully")
-    st.write("### Input Data")
-    st.dataframe(input_df)
+  st.success("✅ Input captured successfully")
+  st.write("### Input Data")
+  st.dataframe(input_df)
 
-    # Predict
-    prediction = model.predict(input_df)[0]
-    prob = model.predict_proba(input_df)[0][1]
+  # Predict
+  prediction = model.predict(input_df)[0]
+  prob = model.predict_proba(input_df)[0][1]
 
-    st.subheader("Prediction Result")
+  st.subheader("Prediction Result")
 
-    if prob>=0.5:
+  if prob>=0.5:
       label="Maintenance Needed"
       st.warning(f"Engine needs Preventive maintenance. Probability: {prob:.2f}")
-    else:
+  else:
       label="Normal"
       st.success(f"Engine working normal. Probability: {prob:.2f}")
 
-    # Save prediction to dataframe
-    input_df['Engine_condition'] = label #'Normal / Preventive maintenance req '
-    st.session_state['input_df'] = input_df
-    st.dataframe(input_df)
-      # -----------------------------
-      # SAVE RECORDS SECTION
-      # -----------------------------
-if st.button("Save Record"):
-  if "input_df" in st.session_state:
-        file_path = "records.csv"
-
-  # If file exists → append
-  if os.path.exists(file_path):
-    existing_df = pd.read_csv(file_path)
-    updated_df = pd.concat([existing_df, input_df], ignore_index=True)
-  else:
-    # Create new CSV
-    updated_df = st.session_state['input_df']
+  # Save prediction to dataframe
+  input_df['Engine_condition'] = label #'Normal / Preventive maintenance req '
+  st.session_state['input_df'] = input_df
+  st.dataframe(input_df)
+  # -----------------------------
+  # SAVE RECORDS SECTION
+  # -----------------------------
+  if st.button("Save Record"):
+    if "input_df" in st.session_state:
+      file_path = "records.csv"
+
+      # If file exists → append
+    if os.path.exists(file_path):
+      existing_df = pd.read_csv(file_path)
+      updated_df = pd.concat([existing_df, input_df], ignore_index=True)
+    else:
+      # Create new CSV
+      updated_df = st.session_state['input_df']
 
-    updated_df.to_csv(file_path, index=False)
+      updated_df.to_csv(file_path, index=False)
 
-  st.success("Record saved successfully!")
+    st.success("Record saved successfully!")
 
-else:
-  st.error("Record not saved...Thank for analysis")
+  else:
+    st.error("Record not saved...Thank for analysis")