fix: bug

app.py

@@ -2,16 +2,6 @@ import gradio as gr
 import torch
 from PIL import Image, ImageDraw
 import json
-import csv
-
-# Increase the maximum field size limit
-OVER_SIZE_LIMIT = 200_000_000
-
-csv.field_size_limit(OVER_SIZE_LIMIT)
-
-# Images
-torch.hub.download_url_to_file('https://www.dl.ndl.go.jp/api/iiif/2586696/R0000008/full/1024,/0/default.jpg', '2586696_R0000008.jpg')
-torch.hub.download_url_to_file('https://www.dl.ndl.go.jp/api/iiif/2586696/R0000009/full/1024,/0/default.jpg', '2586696_R0000009.jpg')
 
 # Model
 model = torch.hub.load('ultralytics/yolov5', 'custom', path='best.pt', source="local") 
@@ -61,7 +51,7 @@ title = "YOLOv5 Kunshujo"
 description = "YOLOv5 Kunshujo Gradio demo for object detection. Upload an image or click an example image to use."
 article = "<p style='text-align: center'>YOLOv5 Kunshujo is an object detection model trained on the <a href=\"https://github.com/utda/kunshujo-layout-dataset\">Kunshujo layout dataset</a>.</p>"
 
-examples = [['2586696_R0000008.jpg'], ['2586696_R0000009.jpg']]
+examples = [['2586696_R0000008.jpg']]
 demo = gr.Interface(yolo, inputs, outputs, title=title, description=description, article=article, examples=examples)
 
 demo.launch()