Update app.py

app.py

@@ -29,7 +29,7 @@ def predict_step(image_paths):
   preds = [pred.strip() for pred in preds]
   return preds
 
-torch.hub.download_url_to_file('https://github.com/AaronCWacker/Yggdrasil/blob/main/images/35-Favorite-Games.jpg', '35-Favorite-Games.jpg')
+#torch.hub.download_url_to_file('https://github.com/AaronCWacker/Yggdrasil/blob/main/images/35-Favorite-Games.jpg', '35-Favorite-Games.jpg')
 
 #result = predict_step(['35-Favorite-Games.jpg'])
 
@@ -47,7 +47,8 @@ article = "nlpconnect/vit-gpt2-image-captioning"
 
 input = gr.inputs.Image(label="Upload your Image", type = 'pil', optional=True)
 output = gr.outputs.Textbox(type="auto",label="Captions")
-examples = [['35-Favorite-Games.jpg']]
+#examples = [['35-Favorite-Games.jpg']]
+examples = [f"{i}.jpg" for i in range(1,7)]
 
 interface = gr.Interface(
         fn=predict,