Update src/streamlit_app.py

src/streamlit_app.py

@@ -196,28 +196,28 @@ init_session_state()
 def run_app1():
 
     @st.cache_data
-        def load_data():
-            paths = [
-                "src/BITS_INTERNS.xlsx",
-                "src/ICFAI.xlsx"
-            ]
+    def load_data():
+        paths = [
+            "src/BITS_INTERNS.xlsx",
+            "src/ICFAI.xlsx"
+        ]
         
-            combined_df = pd.DataFrame()
-            for path in paths:
-                try:
-                    df = pd.read_excel(path, sheet_name="Form Responses 1")
-                    df.columns = df.columns.str.strip()
-                    combined_df = pd.concat([combined_df, df], ignore_index=True)
-                except FileNotFoundError:
-                    return None, f"Excel file '{path}' not found. Please upload the file."
-                except Exception as e:
-                    return None, f"Error loading '{path}': {str(e)}"
+        combined_df = pd.DataFrame()
+        for path in paths:
+            try:
+                df = pd.read_excel(path, sheet_name="Form Responses 1")
+                df.columns = df.columns.str.strip()
+                combined_df = pd.concat([combined_df, df], ignore_index=True)
+            except FileNotFoundError:
+                return None, f"Excel file '{path}' not found. Please upload the file."
+            except Exception as e:
+                return None, f"Error loading '{path}': {str(e)}"
             
-            # Return success case - this was missing!
-            if combined_df.empty:
-                return None, "No data found in Excel files."
-            else:
-                return combined_df, None
+        # Return success case - this was missing!
+        if combined_df.empty:
+            return None, "No data found in Excel files."
+        else:
+            return combined_df, None
 
 # Enhanced RAM extraction with better parsing
 def extract_numeric_ram(ram) -> Optional[int]: