Update main.py

main.py

@@ -3,9 +3,7 @@ import gradio as gr
 from transformers import AutoProcessor, AutoTokenizer, AutoImageProcessor, AutoModelForCausalLM, BlipForConditionalGeneration, VisionEncoderDecoderModel
 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')
-torch.hub.download_url_to_file('https://cdn.openai.com/dall-e-2/demos/text2im/astronaut/horse/photo/0.jpg', 'astronaut.jpg')
+
 
 git_processor_base = AutoProcessor.from_pretrained("microsoft/git-base-coco")
 git_model_base = AutoModelForCausalLM.from_pretrained("microsoft/git-base-coco")
@@ -61,14 +59,14 @@ def generate_captions(image):
 examples = [["cat.jpg"], ["dog.jpg"], ["horse.jpg"]]
 outputs = [gr.outputs.Textbox(label="Caption generated by GIT-base"), gr.outputs.Textbox(label="Caption generated by GIT-large"), gr.outputs.Textbox(label="Caption generated by BLIP-base"), gr.outputs.Textbox(label="Caption generated by BLIP-large"), gr.outputs.Textbox(label="Caption generated by ViT+GPT-2")] 
 
-title = "Interactive demo: comparing image captioning models"
+title = "Image to Text : Multiple Models"
 description = "Gradio Demo to compare GIT, BLIP and ViT+GPT2, 3 state-of-the-art vision+language 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."
 article = "<p style='text-align: center'><a href='https://huggingface.co/docs/transformers/main/model_doc/blip' target='_blank'>BLIP docs</a> | <a href='https://huggingface.co/docs/transformers/main/model_doc/git' target='_blank'>GIT docs</a></p>"
 
 iface = gr.Interface(fn=generate_captions, 
                          inputs=gr.inputs.Image(type="pil"),
                          outputs=outputs,
- #                        examples=examples, 
+                         examples=examples, 
                          title=title,
                          description=description,
                          article=article,