Update app.py

app.py

@@ -12,7 +12,7 @@ import huggingface_hub # For downloading model assets
 import autogluon.multimodal  # For loading AutoGluon image classifier
 
 # Hardcoded Hub model (native zip)
-MODEL_REPO_ID = "apsora/autoML_images_data"
+MODEL_REPO_ID = "kaitongg/best_tomato_model"
 ZIP_FILENAME  = "autogluon_image_predictor_dir.zip"
 
 # Local cache/extract dirs
@@ -93,7 +93,7 @@ with gradio.Blocks() as demo:
     # Provide an introduction
     gradio.Markdown("# Tomato or Not?")
     gradio.Markdown("""
-    This is a simple app that uses the model at apsora/autoML_images_data to classify whether an image has a tomato or not, 
+    This is a simple app that uses the model at kaitongg/best_tomato_model to classify whether an image has a tomato or not, 
     utilizing data found at Iris314/Food_tomatoes_dataset. To use the interface, upload an image in the area shown below.
     """)