Update app.py

app.py

@@ -36,7 +36,7 @@ def shot(image, labels_text, model_name, hypothesis_template):
 iface = gr.Interface(shot, 
             inputs, 
             "label", 
-            examples=[["festival.jpg", "lantern, firecracker, couplet", "ViT/B-16", "a photo of a {}"], 
+            examples=[["festival.jpg", "lantern, firecracker, couplet", "ViT/B-16", "a photo of a {}"]], 
                       # ["cat-dog-music.png", "音乐表演, 体育运动", "ViT/B-16", "a photo of a {}"],
                       # ["football-match.jpg", "梅西, C罗, 马奎尔", "ViT/B-16", "a photo of a {}"]],
             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>