Update app.py

app.py

@@ -14,7 +14,7 @@ def load_model(tar_file: str='outputs/model.tar.gz'):
     return keras.models.load_model(model_path)
 
 hf_hub_download(repo_id='chansung/test_img_clf-model', filename='outputs/model.tar.gz')
-filenames = next(walk(mypath), (None, None, []))[2]  # [] if no file
+filenames = next(walk('.'), (None, None, []))[2]  # [] if no file
 print(filenames)
 model = load_model()
 labels = ['airplane', 'automobile', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship', 'truck']