Update src/streamlit_app.py

src/streamlit_app.py

@@ -195,29 +195,29 @@ init_session_state()
 # Enhanced data loading with error handling
 def run_app1():
 
-@st.cache_data
-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)}"
-    
-    # Return success case - this was missing!
-    if combined_df.empty:
-        return None, "No data found in Excel files."
-    else:
-        return combined_df, None
+    @st.cache_data
+        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)}"
+            
+            # 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]: