updated app

app.py

@@ -95,7 +95,51 @@ def find_best_matches(user_image):
     except Exception as e:
         return [], f"Error: {str(e)}"
 
-# --- 3. Build Interface ---
+# --- 3. Monkey Patch to Fix Gradio API Bug ---
+# The error occurs in gradio_client/utils.py line 882: if "const" in schema:
+# but schema is a boolean instead of a dict. We'll patch multiple places.
+
+# Patch 1: Fix the get_type function in gradio_client.utils
+try:
+    from gradio_client import utils as client_utils
+    
+    _original_get_type = client_utils.get_type
+    
+    def safe_get_type(schema):
+        """Safe version that checks if schema is a dict before using 'in'"""
+        if not isinstance(schema, dict):
+            # If schema is not a dict (e.g., it's a bool), return a default type
+            return "Any"
+        return _original_get_type(schema)
+    
+    client_utils.get_type = safe_get_type
+    print("✓ Patched gradio_client.utils.get_type")
+except Exception as e:
+    print(f"Could not patch gradio_client.utils.get_type: {e}")
+
+# Patch 2: Fix the get_api_info method in gradio.blocks
+try:
+    from gradio import blocks
+    
+    _original_get_api_info = blocks.Blocks.get_api_info
+    
+    def safe_get_api_info(self):
+        """Safe version that catches schema introspection errors"""
+        try:
+            return _original_get_api_info(self)
+        except TypeError as e:
+            if "argument of type 'bool' is not iterable" in str(e) or "'bool' is not iterable" in str(e):
+                # Known Gradio bug - return empty API info
+                print("Warning: Caught Gradio API schema bug, returning empty API info")
+                return {}
+            raise  # Re-raise if it's a different TypeError
+    
+    blocks.Blocks.get_api_info = safe_get_api_info
+    print("✓ Patched gradio.blocks.Blocks.get_api_info")
+except Exception as e:
+    print(f"Could not patch gradio.blocks.get_api_info: {e}")
+
+# --- 4. Build Interface ---
 with gr.Blocks(title="Famous Face Matcher") as demo:
     gr.Markdown("# 🎭 Who is your Celebrity Twin?")
     gr.Markdown(f"Searching **{len(df_db) if df_db is not None else 0} faces** using **{MODEL_NAME}**.")