Update src/streamlit_app.py

src/streamlit_app.py

@@ -24,31 +24,37 @@ st.set_page_config(
 # Enhanced data loading with error handling - FIXED FILE PATH
 @st.cache_data
 def load_data():
-    try:
-        # Try multiple possible file locations
-        possible_paths = [
-            "BITS_INTERNS.xlsx",  # Current directory
-            "src/BITS_INTERNS.xlsx",  # src subdirectory
-            "./BITS_INTERNS.xlsx",  # Explicit current directory
-        ]
-        
-        df = None
-        for path in possible_paths:
-            try:
-                df = pd.read_excel(path, sheet_name="Form Responses 1")
-                st.info(f"✅ Successfully loaded data from: {path}")
-                break
-            except FileNotFoundError:
-                continue
-        
-        if df is None:
-            return None, "Excel file 'BITS_INTERNS.xlsx' not found in any expected location. Please ensure the file is in the same directory as this script."
-        
-        df.columns = df.columns.str.strip()
-        return df, None
-        
-    except Exception as e:
-        return None, f"Error loading data: {str(e)}"
+    def try_read_excel(path: str) -> Optional[pd.DataFrame]:
+        try:
+            df = pd.read_excel(path, sheet_name=0)
+            df.columns = df.columns.str.strip()
+            return df
+        except Exception:
+            return None
+
+    possible_files = [
+        "BITS_INTERNS.xlsx",
+        "src/BITS_INTERNS.xlsx",
+        "./BITS_INTERNS.xlsx",
+        "Summer of AI - ICFAI  (Responses) (3).xlsx",
+        "src/Summer of AI - ICFAI  (Responses) (3).xlsx",
+        "./Summer of AI - ICFAI  (Responses) (3).xlsx"
+    ]
+
+    dfs = []
+    for file in possible_files:
+        df = try_read_excel(file)
+        if df is not None:
+            st.info(f"✅ Loaded data from: {file}")
+            dfs.append(df)
+
+    if not dfs:
+        return None, "❌ No valid Excel files found. Please upload at least one file."
+
+    # Merge all valid DataFrames
+    combined_df = pd.concat(dfs, ignore_index=True)
+    return combined_df, None
+
 
 # Enhanced RAM extraction with better parsing
 def extract_numeric_ram(ram) -> Optional[int]: