Update app.py

app.py

@@ -50,7 +50,21 @@ def read_file(file):
     try:
         # Handle different file types
         if file_name.endswith('.csv'):
-            return pd.read_csv(file)
+            # For wine quality dataset which uses semicolons
+            if "winequality" in file_name.lower():
+                return pd.read_csv(file, sep=';')
+            else:
+                # Try standard comma separator first
+                try:
+                    df = pd.read_csv(file)
+                    # If we got only one column but it contains semicolons, try again with semicolon separator
+                    if len(df.columns) == 1 and ';' in df.columns[0]:
+                        return pd.read_csv(file, sep=';')
+                    return df
+                except:
+                    # Fall back to semicolon if comma fails
+                    return pd.read_csv(file, sep=';')
+                
         elif file_name.endswith(('.xls', '.xlsx')):
             return pd.read_excel(file)
         elif file_name.endswith('.json'):