Upload app.py with huggingface_hub

app.py

@@ -1,3 +1,21 @@
+# PATCH GRADIO BEFORE ANYTHING ELSE LOADS
+import sys
+import gradio.routes as routes_module
+import gradio.blocks as blocks_module
+
+# Patch api_info to return empty dict immediately
+original_api_info = getattr(routes_module, 'api_info', None)
+def patched_api_info(*args, **kwargs):
+    return {"api": {}}
+routes_module.api_info = patched_api_info
+
+# Also patch get_api_info in Blocks
+original_get_api_info = getattr(blocks_module.Blocks, 'get_api_info', None)
+def patched_get_api_info(self):
+    return {}
+if original_get_api_info:
+    blocks_module.Blocks.get_api_info = patched_get_api_info
+
 import os
 import shutil
 from huggingface_hub import hf_hub_download
@@ -16,12 +34,6 @@ from albumentations.pytorch import ToTensorV2
 
 from models.hybrid_model import HybridFoodClassifier
 
-# MONKEY PATCH: Completely disable API generation
-import gradio.routes as routes_module
-def empty_api_info(*args, **kwargs):
-    return {"api": {}}
-routes_module.api_info = empty_api_info
-
 REPO_ID = os.getenv("MODEL_REPO_ID", "codealchemist01/food-image-classifier-hybrid")
 
 class FoodClassifier: