Update app.py

app.py

@@ -1,7 +1,7 @@
 import os
 import sys
 
-# Set environment variables before importing any libraries
+
 os.environ["GRADIO_ANALYTICS_ENABLED"] = "False"
 
 # Import libraries
@@ -11,9 +11,9 @@ import torch
 from transformers import BertTokenizer, BertForSequenceClassification, pipeline
 from app.questions import get_question
 
-# Apply monkey patch to prevent the API generation error
+# patch(niranjan)
 try:
-    # Save original method reference
+    # original method 
     original_method = gr.Blocks.get_api_info
     
     # Create a safer version of the method that catches the specific error
@@ -22,9 +22,9 @@ try:
             return original_method(self)
         except TypeError as e:
             print(f"API info generation error suppressed: {str(e)}", file=sys.stderr)
-            return {}  # Return empty API info instead of crashing
+            return {}  # Return empty api
     
-    # Apply the patch
+   
     gr.Blocks.get_api_info = safe_get_api_info
     print("Applied API info generation patch", file=sys.stderr)
 except Exception as e:
@@ -189,15 +189,15 @@ try:
     # Original function reference
     original_json_schema = gradio_client.utils._json_schema_to_python_type
     
-    # Create patched version
+    #  patched version
     def patched_json_schema(schema, defs=None):
         try:
             if isinstance(schema, bool):
-                return "bool"  # Handle boolean schema case directly
+                return "bool"  
             return original_json_schema(schema, defs)
         except Exception as e:
             print(f"JSON schema conversion error suppressed: {str(e)}", file=sys.stderr)
-            return "any"  # Return a safe fallback type
+            return "any"  
             
     # Apply patch
     gradio_client.utils._json_schema_to_python_type = patched_json_schema
@@ -211,7 +211,7 @@ if __name__ == "__main__":
         demo.launch(show_api=False)
     except Exception as e:
         print(f"Launch failed: {str(e)}", file=sys.stderr)
-        # Try minimal launch as fallback
+        
         try:
             demo.launch()
         except Exception as e: