Update app.py

app.py

@@ -390,12 +390,25 @@ def process_dataframe(df):
 
 @app.route("/report")
 def report_view():
-    # 1. get your input features
-    X_new = ...  # DataFrame
+    
+    report_type = request.args.get('report_type', 'pred')
+    try:
+        page = int(request.args.get('page', 1))
+    except ValueError:
+        page = 1
+    per_page = 15  # records per page
+
+    # Read the appropriate CSV file.
+    if report_type == 'pred':
+        df = pd.read_csv(PRED_OUTPUT_FILE)
+    else:
+        df = pd.read_csv(CLASS_OUTPUT_FILE)
 
-    # 2. predict
-    codes = model.predict(X_new)
-    labels = safe_inverse_transform(label_enc, codes)
+    start_idx = (page - 1) * per_page
+    end_idx = start_idx + per_page
+    total_records = len(df)
+    
+    df_page = df.iloc[start_idx:end_idx]
 
     # 3. build df & html
     df = pd.DataFrame({