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Update app.py
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app.py
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@@ -204,7 +204,7 @@ def process_document(image, question, llm):
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theme = gr.themes.Monochrome(
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primary_hue="indigo",
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secondary_hue="blue",
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# neutral_hue="slate",
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radius_size=gr.themes.sizes.radius_sm,
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font=[gr.themes.GoogleFont("Open Sans"), "ui-sans-serif", "system-ui", "sans-serif"],
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@@ -215,16 +215,10 @@ with gr.Blocks(theme=theme) as demo:
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gr.Markdown(
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"""<h1><center>DePlot+LLM: Multimodal chain-of-thought reasoning on plots</center></h1>
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<p>
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</p>
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"""
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)
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# #with gr.Row():
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# llm = gr.Dropdown(
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# ["alpaca-lora", "flan-ul2"], label="LLM", info="We will add more LLMs.")
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# num_shot = gr.Dropdown(
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# ["0-shot", "1-shot"], label="shots", info="How many example tables in the prompt?")
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# openai_api = gr.Textbox(label="openai api (if using OpenAI models, otherwise leave empty)")
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with gr.Row():
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with gr.Column(scale=2):
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theme = gr.themes.Monochrome(
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primary_hue="indigo",
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# secondary_hue="blue",
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# neutral_hue="slate",
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radius_size=gr.themes.sizes.radius_sm,
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font=[gr.themes.GoogleFont("Open Sans"), "ui-sans-serif", "system-ui", "sans-serif"],
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gr.Markdown(
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"""<h1><center>DePlot+LLM: Multimodal chain-of-thought reasoning on plots</center></h1>
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<p>
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This is a demo of DePlot+LLM for QA and summarisation. <a href='https://arxiv.org/abs/2212.10505' target='_blank'>DePlot</a> is an image-to-text model that converts plots and charts into a textual sequence. The sequence then is used to prompt LLM for chain-of-thought reasoning. The current underlying LLMs are <a href='https://huggingface.co/spaces/tloen/alpaca-lora' target='_blank'>alpaca-lora</a>, <a href='https://huggingface.co/google/flan-ul2' target='_blank'>flan-ul2</a>, and <a href='https://openai.com/blog/chatgpt' target='_blank'>gpt-3.5-turbo<\a>. To use it, simply upload your image and type a question or instruction and click 'submit', or click one of the examples to load them. Read more at the links below.
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</p>
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"""
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)
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with gr.Row():
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with gr.Column(scale=2):
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