Update src/streamlit_app.py

src/streamlit_app.py

@@ -25,14 +25,29 @@ st.set_page_config(
 @st.cache_data
 def load_data():
     try:
-        df = pd.read_excel("src/BITS_INTERNS.xlsx", sheet_name="Form Responses 1")
-        df.columns = df.columns.str.strip()
-        return df, None
-    except FileNotFoundError:
-        return None, "Excel file 'BITS_INTERNS.xlsx' not found. Please upload the file."
+        # Load both Excel files
+        df1 = pd.read_excel("src/BITS_INTERNS.xlsx", sheet_name="Form Responses 1")
+        df2 = pd.read_excel("Summer of AI - ICFAI  (Responses) (3).xlsx")
+        
+        # Clean column names
+        df1.columns = df1.columns.str.strip()
+        df2.columns = df2.columns.str.strip()
+        
+        # Standardize columns between datasets (if needed)
+        common_cols = list(set(df1.columns) & set(df2.columns))
+        df1 = df1[common_cols]
+        df2 = df2[common_cols]
+
+        # Merge the data (stack on top of each other)
+        combined_df = pd.concat([df1, df2], ignore_index=True)
+        
+        return combined_df, None
+    except FileNotFoundError as e:
+        return None, f"File not found: {e}"
     except Exception as e:
         return None, f"Error loading data: {str(e)}"
 
+
 # Enhanced RAM extraction with better parsing
 def extract_numeric_ram(ram) -> Optional[int]:
     if pd.isna(ram):