Update app.py

app.py

@@ -2,8 +2,6 @@
 
 from __future__ import annotations
 
-import pathlib
-
 import cv2
 import gradio as gr
 import huggingface_hub
@@ -64,14 +62,10 @@ def detect(image: np.ndarray) -> list[np.ndarray]:
     person_images = visualize(image, bboxes, vbboxes)
     return [img[:, :, ::-1] for img in person_images]  # BGR -> RGB
 
-examples = sorted(pathlib.Path("images").glob("*.jpg"))
-
 demo = gr.Interface(
     fn=detect,
     inputs=gr.Image(label="Input", type="numpy"),
     outputs=gr.Gallery(label="Detected Persons"),
-    examples=examples,
-    examples_per_page=30,
     title=TITLE,
     description=DESCRIPTION,
 )