Update app.py

app.py

@@ -18,14 +18,6 @@ import base64
 DESCRIPTION = "# [KichangKim/DeepDanbooru](https://github.com/KichangKim/DeepDanbooru)"
 
 
-def load_sample_image_paths() -> list[pathlib.Path]:
-    image_dir = pathlib.Path("images")
-    if not image_dir.exists():
-        path = huggingface_hub.hf_hub_download("public-data/sample-images-TADNE", "images.tar.gz", repo_type="dataset")
-        with tarfile.open(path) as f:
-            f.extractall()
-    return sorted(image_dir.glob("*"))
-
 
 def load_model() -> tf.keras.Model:
     path = huggingface_hub.hf_hub_download("public-data/DeepDanbooru", "model-resnet_custom_v3.h5")
@@ -71,8 +63,6 @@ def predict(image: PIL.Image.Image, score_threshold: float) -> tuple[dict[str, f
     return result_threshold, result_all, result_text
 
 
-image_paths = load_sample_image_paths()
-examples = [[path.as_posix(), 0.5] for path in image_paths]
 
 with gr.Blocks(css="style.css") as demo:
     gr.Markdown(DESCRIPTION)