Update app.py

app.py

@@ -40,9 +40,7 @@ lei = "机动车道,非机动车道,人车混行道路,斑马线人行道,主干
 iface = gr.Interface(shot, 
             inputs, 
             "label", 
-            examples=[["street.jpg", lei, "ViT/B-16", "一张{}的图片。"], 
-                      ["cat-dog-music.png", "音乐表演, 体育运动", "ViT/B-16", "一张{}的图片。"],
-                      ["football-match.jpg", "梅西, C罗, 马奎尔", "ViT/B-16", "一张{}的图片。"]],
+            examples=[["street.jpg", lei, "ViT/B-16", "一张{}的图片。"]],
             description="""<p>Chinese CLIP is a contrastive-learning-based vision-language foundation model pretrained on large-scale Chinese data. For more information, please refer to the paper and official github. Also, Chinese CLIP has already been merged into Huggingface Transformers! <br><br>
             Paper: <a href='https://arxiv.org/abs/2211.01335'>https://arxiv.org/abs/2211.01335</a> <br>
             Github: <a href='https://github.com/OFA-Sys/Chinese-CLIP'>https://github.com/OFA-Sys/Chinese-CLIP</a> (Welcome to star! 🔥🔥) <br><br>