Update app.py

app.py

@@ -1,7 +1,4 @@
 # app.py
-
-# app.py (add this at the very top)
-
 import subprocess
 import sys
 import os
@@ -163,39 +160,49 @@ def download_test_set() -> Tuple[str, str]:
         return None, error_msg
 
 def validate_submission(file, model_name: str, author: str, description: str) -> Tuple[str, Optional[pd.DataFrame]]:
-    """Validate uploaded prediction file."""
-    
+    """Validate uploaded prediction file, handling both file-like and NamedString inputs."""
     try:
         if file is None:
             return "❌ Please upload a predictions file", None
-        
         if not model_name.strip():
             return "❌ Please provide a model name", None
-        
-        # Read file content
-        file_content = file.read()
-        filename = file.name
-        
-        # Get test set for validation
+
+        # Read raw bytes from the upload
+        try:
+            file_content = file.read()
+        except AttributeError:
+            # Fallback for Gradio NamedString
+            data = getattr(file, "data", None) or getattr(file, "value", None)
+            if data is None:
+                return "❌ Could not read uploaded file", None
+            file_content = data.encode("utf-8") if isinstance(data, str) else data
+
+        # Determine filename
+        filename = getattr(file, "name", None) or getattr(file, "filename", None) or "uploaded_file"
+
+        # Load complete test set
         global complete_test_set
         if complete_test_set is None:
             complete_test_set = get_complete_test_set()
-        
-        # Validate submission
+
+        # Run validation
         validation_result = validate_submission_complete(
             file_content, filename, complete_test_set, model_name
         )
-        
-        if validation_result['valid']:
-            # Store validation info for later use
-            return validation_result['report'], validation_result['predictions']
+
+        if validation_result["valid"]:
+            return validation_result["report"], validation_result["predictions"]
         else:
-            return validation_result['report'], None
-        
+            return validation_result["report"], None
+
     except Exception as e:
-        error_msg = f"❌ Validation error: {str(e)}\n\nTraceback:\n{traceback.format_exc()}"
+        error_msg = (
+            f"❌ Validation error: {str(e)}\n\nTraceback:\n"
+            + traceback.format_exc()
+        )
         return error_msg, None
 
+
 def evaluate_submission(
     predictions_df: pd.DataFrame, 
     model_name: str,