update

app.py

@@ -2,11 +2,10 @@ import gradio as gr
 from transformers import pipeline
 
 pipe = pipeline(task="image-classification", 
-                # model that can do 22k-category classification
-                model="microsoft/beit-base-patch16-224-pt22k-ft22k")
+                model="kaiku03/vit-base-1stGen-Pokemon-Images")
 gr.Interface.from_pipeline(pipe, 
-                           title="22k Image Classification",
-                           description="Object Recognition using Microsoft BEIT",
+                           title="Whos's that pokemon",
+                           description="Pokemon Image Classification",
 #                           examples = ['wonder_cat.jpg', 'aki_dog.jpg',],
-                           article = "Author: <a href=\"https://huggingface.co/rowel\">Rowel Atienza</a>",
+#                          article = "Author: <a href=\"https://huggingface.co/rowel\">Rowel Atienza</a>",
                            ).launch()