kasun commited on
Commit
b97e659
1 Parent(s): 16ec70c

enabled just git large

Browse files
Files changed (1) hide show
  1. app.py +15 -15
app.py CHANGED
@@ -11,17 +11,17 @@ torch.hub.download_url_to_file('http://images.cocodataset.org/val2017/0000000397
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  torch.hub.download_url_to_file('https://huggingface.co/datasets/nielsr/textcaps-sample/resolve/main/stop_sign.png', 'stop_sign.png')
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  torch.hub.download_url_to_file('https://cdn.openai.com/dall-e-2/demos/text2im/astronaut/horse/photo/0.jpg', 'astronaut.jpg')
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- git_processor_base = AutoProcessor.from_pretrained("microsoft/git-base-coco")
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- git_model_base = AutoModelForCausalLM.from_pretrained("microsoft/git-base-coco")
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- # git_processor_large_coco = AutoProcessor.from_pretrained("microsoft/git-large-coco")
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- # git_model_large_coco = AutoModelForCausalLM.from_pretrained("microsoft/git-large-coco")
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  # git_processor_large_textcaps = AutoProcessor.from_pretrained("microsoft/git-large-r-textcaps")
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  # git_model_large_textcaps = AutoModelForCausalLM.from_pretrained("microsoft/git-large-r-textcaps")
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- blip_processor_base = AutoProcessor.from_pretrained("Salesforce/blip-image-captioning-base")
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- blip_model_base = BlipForConditionalGeneration.from_pretrained("Salesforce/blip-image-captioning-base")
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  # blip_processor_large = AutoProcessor.from_pretrained("Salesforce/blip-image-captioning-large")
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  # blip_model_large = BlipForConditionalGeneration.from_pretrained("Salesforce/blip-image-captioning-large")
@@ -43,9 +43,9 @@ blip_model_base = BlipForConditionalGeneration.from_pretrained("Salesforce/blip-
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  device = "cuda" if torch.cuda.is_available() else "cpu"
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- git_model_base.to(device)
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- blip_model_base.to(device)
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- # git_model_large_coco.to(device)
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  # git_model_large_textcaps.to(device)
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  # blip_model_large.to(device)
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  # vitgpt_model.to(device)
@@ -76,13 +76,13 @@ def generate_caption_coca(model, transform, image):
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  def generate_captions(image):
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- caption_git_base = generate_caption(git_processor_base, git_model_base, image)
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- # caption_git_large_coco = generate_caption(git_processor_large_coco, git_model_large_coco, image)
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  # caption_git_large_textcaps = generate_caption(git_processor_large_textcaps, git_model_large_textcaps, image)
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- caption_blip_base = generate_caption(blip_processor_base, blip_model_base, image)
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  # caption_blip_large = generate_caption(blip_processor_large, blip_model_large, image)
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@@ -95,17 +95,17 @@ def generate_captions(image):
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  # caption_blip2_8_bit = generate_caption(blip2_processor_8_bit, blip2_model_8_bit, image, use_float_16=True).strip()
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  # return caption_git_large_coco, caption_git_large_textcaps, caption_blip_large, caption_coca, caption_blip2_8_bit
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- return caption_git_base, caption_blip_base
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  examples = [["cats.jpg"], ["stop_sign.png"], ["astronaut.jpg"]]
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  # outputs = [gr.outputs.Textbox(label="Caption generated by GIT-large fine-tuned on COCO"), gr.outputs.Textbox(label="Caption generated by GIT-large fine-tuned on TextCaps"), gr.outputs.Textbox(label="Caption generated by BLIP-large"), gr.outputs.Textbox(label="Caption generated by CoCa"), gr.outputs.Textbox(label="Caption generated by BLIP-2 OPT 6.7b")]
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  outputs = [
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- gr.outputs.Textbox(label="Caption generated by GIT-base fine-tuned on COCO"),
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  # gr.outputs.Textbox(label="Caption generated by GIT-large fine-tuned on COCO"),
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  # gr.outputs.Textbox(label="Caption generated by GIT-large fine-tuned on TextCaps"),
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- gr.outputs.Textbox(label="Caption generated by BLIP-base"),
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  # gr.outputs.Textbox(label="Caption generated by BLIP-large"),
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  # gr.outputs.Textbox(label="Caption generated by vitgpt")
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  ]
 
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  torch.hub.download_url_to_file('https://huggingface.co/datasets/nielsr/textcaps-sample/resolve/main/stop_sign.png', 'stop_sign.png')
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  torch.hub.download_url_to_file('https://cdn.openai.com/dall-e-2/demos/text2im/astronaut/horse/photo/0.jpg', 'astronaut.jpg')
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+ # git_processor_base = AutoProcessor.from_pretrained("microsoft/git-base-coco")
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+ # git_model_base = AutoModelForCausalLM.from_pretrained("microsoft/git-base-coco")
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+ git_processor_large_coco = AutoProcessor.from_pretrained("microsoft/git-large-coco")
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+ git_model_large_coco = AutoModelForCausalLM.from_pretrained("microsoft/git-large-coco")
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  # git_processor_large_textcaps = AutoProcessor.from_pretrained("microsoft/git-large-r-textcaps")
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  # git_model_large_textcaps = AutoModelForCausalLM.from_pretrained("microsoft/git-large-r-textcaps")
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+ # blip_processor_base = AutoProcessor.from_pretrained("Salesforce/blip-image-captioning-base")
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+ # blip_model_base = BlipForConditionalGeneration.from_pretrained("Salesforce/blip-image-captioning-base")
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  # blip_processor_large = AutoProcessor.from_pretrained("Salesforce/blip-image-captioning-large")
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  # blip_model_large = BlipForConditionalGeneration.from_pretrained("Salesforce/blip-image-captioning-large")
 
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  device = "cuda" if torch.cuda.is_available() else "cpu"
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+ # git_model_base.to(device)
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+ # blip_model_base.to(device)
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+ git_model_large_coco.to(device)
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  # git_model_large_textcaps.to(device)
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  # blip_model_large.to(device)
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  # vitgpt_model.to(device)
 
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  def generate_captions(image):
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+ # caption_git_base = generate_caption(git_processor_base, git_model_base, image)
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+ caption_git_large_coco = generate_caption(git_processor_large_coco, git_model_large_coco, image)
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  # caption_git_large_textcaps = generate_caption(git_processor_large_textcaps, git_model_large_textcaps, image)
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+ # caption_blip_base = generate_caption(blip_processor_base, blip_model_base, image)
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  # caption_blip_large = generate_caption(blip_processor_large, blip_model_large, image)
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  # caption_blip2_8_bit = generate_caption(blip2_processor_8_bit, blip2_model_8_bit, image, use_float_16=True).strip()
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  # return caption_git_large_coco, caption_git_large_textcaps, caption_blip_large, caption_coca, caption_blip2_8_bit
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+ return caption_git_large_coco
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  examples = [["cats.jpg"], ["stop_sign.png"], ["astronaut.jpg"]]
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  # outputs = [gr.outputs.Textbox(label="Caption generated by GIT-large fine-tuned on COCO"), gr.outputs.Textbox(label="Caption generated by GIT-large fine-tuned on TextCaps"), gr.outputs.Textbox(label="Caption generated by BLIP-large"), gr.outputs.Textbox(label="Caption generated by CoCa"), gr.outputs.Textbox(label="Caption generated by BLIP-2 OPT 6.7b")]
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  outputs = [
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+ gr.outputs.Textbox(label="Caption generated by GIT-large fine-tuned on COCO"),
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  # gr.outputs.Textbox(label="Caption generated by GIT-large fine-tuned on COCO"),
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  # gr.outputs.Textbox(label="Caption generated by GIT-large fine-tuned on TextCaps"),
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+ # gr.outputs.Textbox(label="Caption generated by BLIP-base"),
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  # gr.outputs.Textbox(label="Caption generated by BLIP-large"),
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  # gr.outputs.Textbox(label="Caption generated by vitgpt")
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  ]