Update app.py

app.py

@@ -3,6 +3,7 @@ from transformers import AutoProcessor, AutoModelForCausalLM, BlipForConditional
 import torch
 
 torch.hub.download_url_to_file('http://images.cocodataset.org/val2017/000000039769.jpg', 'cats.jpg')
+torch.hub.download_url_to_file('https://huggingface.co/datasets/nielsr/textcaps-sample/resolve/main/stop_sign.png', 'stop_sign.png')
 
 git_processor = AutoProcessor.from_pretrained("microsoft/git-base-coco")
 git_model = AutoModelForCausalLM.from_pretrained("microsoft/git-base-coco")
@@ -33,7 +34,7 @@ def generate_captions(image):
     return caption_git, caption_blip
 
    
-examples = [["cats.jpg"]]
+examples = [["cats.jpg", "stop_sign.png"]]
 
 title = "Interactive demo: comparing image captioning models"
 description = "Gradio Demo to compare GIT and BLIP, 2 state-of-the-art captioning models. To use it, simply upload your image and click 'submit', or click one of the examples to load them. Read more at the links below."
@@ -41,7 +42,7 @@ article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2102.033
 
 interface = gr.Interface(fn=generate_captions, 
                          inputs=gr.inputs.Image(type="pil"),
-                         outputs=[gr.outputs.Textbox(label="Generated caption by GIT"), gr.outputs.Textbox(label="Generated caption by BLIP")], 
+                         outputs=[gr.outputs.Textbox(label="Caption generated by GIT"), gr.outputs.Textbox(label="Caption generated by BLIP")], 
                          examples=examples, 
                          title=title,
                          description=description,