Update app.py

app.py

@@ -41,21 +41,50 @@ class ComprehensiveSocialMediaAnalyzer:
         try:
             # Load the dataset
             import os
+            import glob
+            
+            # Get current working directory
+            cwd = os.getcwd()
+            print(f"🔍 Current working directory: {cwd}")
+            
             # Try multiple possible paths
             possible_paths = [
                 "data/Students Social Media Addiction.csv",
                 "./data/Students Social Media Addiction.csv",
                 "../data/Students Social Media Addiction.csv",
+                os.path.join(cwd, "data", "Students Social Media Addiction.csv"),
                 os.path.join(os.path.dirname(__file__), "data", "Students Social Media Addiction.csv")
             ]
             
+            # Also try to find any CSV file in data directory
+            data_files = glob.glob("data/*.csv")
+            print(f"🔍 Found CSV files in data/: {data_files}")
+            
             for path in possible_paths:
+                print(f"🔍 Trying path: {path}")
                 if os.path.exists(path):
-                    self.df = pd.read_csv(path)
-                    print(f"✅ Data loaded from: {path}")
-                    break
+                    try:
+                        self.df = pd.read_csv(path)
+                        print(f"✅ Data loaded from: {path}")
+                        print(f"   Shape: {self.df.shape}")
+                        print(f"   Columns: {list(self.df.columns)}")
+                        break
+                    except Exception as e:
+                        print(f"❌ Error reading {path}: {e}")
+                        continue
             else:
-                raise FileNotFoundError("Could not find the data file in any expected location")
+                # If no file found, try to use any CSV in data directory
+                if data_files:
+                    try:
+                        self.df = pd.read_csv(data_files[0])
+                        print(f"✅ Data loaded from fallback: {data_files[0]}")
+                        print(f"   Shape: {self.df.shape}")
+                        print(f"   Columns: {list(self.df.columns)}")
+                    except Exception as e:
+                        print(f"❌ Error reading fallback file: {e}")
+                        raise FileNotFoundError("Could not load any data file")
+                else:
+                    raise FileNotFoundError("Could not find the data file in any expected location")
             
             # Create binary features for categorical variables
             self.df['Is_Female'] = (self.df['Gender'] == 'Female').astype(int)
@@ -584,6 +613,7 @@ with gr.Blocks(title="Social Media Addiction Analysis - Comprehensive", theme=gr
             ### Data Source
             Analysis based on comprehensive student social media usage survey data.
             """)
+
 # Launch the app
 if __name__ == "__main__":
     demo.launch(share=True)