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Add description and links to nb/blog (#1)
Browse files- Add description and links to nb/blog (bb7d946e84b57b0e04daa156d25e964152444d77)
Co-authored-by: Merve Noyan <[email protected]>
app.py
CHANGED
@@ -14,7 +14,9 @@ model = AutoModelForCausalLM.from_pretrained('HuggingFaceM4/Florence-2-DocVQA',
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processor = AutoProcessor.from_pretrained('HuggingFaceM4/Florence-2-DocVQA', trust_remote_code=True)
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-
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colormap = ['blue','orange','green','purple','brown','pink','gray','olive','cyan','red',
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'lime','indigo','violet','aqua','magenta','coral','gold','tan','skyblue']
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@@ -58,6 +60,7 @@ css = """
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"""
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with gr.Blocks(css=css) as demo:
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gr.Markdown(DESCRIPTION)
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with gr.Tab(label="Florence-2 Image Captioning"):
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with gr.Row():
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@@ -79,7 +82,7 @@ with gr.Blocks(css=css) as demo:
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outputs=[output_text],
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fn=process_image,
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cache_examples=True,
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label='Try examples'
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)
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submit_btn.click(process_image, [input_img, text_input], [output_text])
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processor = AutoProcessor.from_pretrained('HuggingFaceM4/Florence-2-DocVQA', trust_remote_code=True)
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TITLE = "# [Florence-2-DocVQA Demo](https://huggingface.co/HuggingFaceM4/Florence-2-DocVQA)"
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DESCRIPTION = "The demo for Florence-2 fine-tuned on DocVQA dataset. You can find the notebook [here](https://colab.research.google.com/drive/1hKDrJ5AH_o7I95PtZ9__VlCTNAo1Gjpf?usp=sharing). Read more about Florence-2 fine-tuning [here](finetune-florence2)."
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+
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colormap = ['blue','orange','green','purple','brown','pink','gray','olive','cyan','red',
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'lime','indigo','violet','aqua','magenta','coral','gold','tan','skyblue']
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"""
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with gr.Blocks(css=css) as demo:
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gr.Markdown(TITLE)
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gr.Markdown(DESCRIPTION)
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with gr.Tab(label="Florence-2 Image Captioning"):
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with gr.Row():
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outputs=[output_text],
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fn=process_image,
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cache_examples=True,
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label='Try the examples below'
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)
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submit_btn.click(process_image, [input_img, text_input], [output_text])
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