Update src/streamlit_app.py

src/streamlit_app.py

@@ -25,33 +25,30 @@ st.set_page_config(
 @st.cache_data
 def load_data():
     try:
-        # Load BITS file
-        df_bits = pd.read_excel("/mnt/data/BITS_INTERNS.xlsx", sheet_name="Form Responses 1")
-        df_bits["Source"] = "BITS"
-
-        # Load ICFAI file
-        df_icfai = pd.read_excel("/mnt/data/Summer of AI - ICFAI  (Responses) (3).xlsx", sheet_name=0)
-        df_icfai["Source"] = "ICFAI"
-
-        # Align columns by renaming if needed (e.g., if column names differ)
-        df_bits.columns = df_bits.columns.str.strip()
-        df_icfai.columns = df_icfai.columns.str.strip()
-
-        # Optional: Rename columns in ICFAI to match BITS (only if necessary)
-        df_icfai.rename(columns={
-            "Your Full Name": "Full Name",
-            "Laptop RAM Capacity": "Laptop RAM",
-            "Mobile RAM Capacity": "Mobile RAM",
-            "Laptop OS": "Laptop Operating System",
-            "Mobile OS": "Mobile Operating System"
-        }, inplace=True)
-
-        # Combine both
-        df_combined = pd.concat([df_bits, df_icfai], ignore_index=True)
-        return df_combined, None
-
+        # Try multiple possible file locations
+        possible_paths = [
+            "Merged_Student_Data.csv",  # Current directory
+            "src/Merged_Student_Data.csv",  # src subdirectory
+            "./Merged_Student_Data.csv",  # 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 'Merged_Student_Data.csv' 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 Excel files: {str(e)}"
+        return None, f"Error loading data: {str(e)}"
 
 
 # Enhanced RAM extraction with better parsing