Update app.py

app.py

@@ -18,11 +18,11 @@ inputs = [
     gr.inputs.Textbox(lines=1, 
                       label="Candidate Labels 候选分类标签"),
     gr.inputs.Radio(choices=[   
-                                "openAI-ViT/B-16",
-                                "ViT/B-16",
-                                "ViT/L-14", 
-                                "ViT/L-14@336px", 
-                                "ViT/H-14",
+                                "OpenAI-ViT/B-16",
+                                "CN-ViT/B-16",
+                                "CN-ViT/L-14", 
+                                "CN-ViT/L-14@336px", 
+                                "CN-ViT/H-14",
                             ], type="value", default="ViT/B-16", label="Model 模型规模"), 
     gr.inputs.Textbox(lines=1, 
                       label="Prompt Template Prompt模板 ({}指代候选标签)", 
@@ -43,8 +43,8 @@ en_lei = "Motor Vehicle Lane,Non-motor Vehicle Lane,Mixed Traffic Road,Zebra Cro
 iface = gr.Interface(shot, 
             inputs, 
             "label", 
-            examples=[["street.jpg", lei, "ViT/B-16", "一张{}的图片。"],
-                      ["street.jpg", en_lei, "openAI-ViT/B-16", "A picture of {}."]
+            examples=[["street.jpg", lei, "CN-ViT/B-16", "一张{}的图片。"],
+                      ["street.jpg", en_lei, "OpenAI-ViT/B-16", "A picture of {}."]
                      ],
                      
             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>