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priceofdev
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418cbad
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app.py
CHANGED
@@ -180,9 +180,6 @@ if __name__ == "__main__":
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with demo:
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gr.Markdown("# Long-Form Summarization: LED & BookSum")
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gr.Markdown(
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"LED models ([model card](https://huggingface.co/pszemraj/led-large-book-summary)) fine-tuned to summarize long-form text. A [space with other models can be found here](https://huggingface.co/spaces/pszemraj/document-summarization)"
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)
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with gr.Column():
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gr.Markdown("## Load Inputs & Select Parameters")
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@@ -198,7 +195,7 @@ if __name__ == "__main__":
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label="Beam Search: # of Beams",
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value=2,
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)
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gr.Markdown("Load a a .txt - example or your own (_You may find [this OCR space](https://huggingface.co/spaces/
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with gr.Row():
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example_name = gr.Dropdown(
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_examples,
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@@ -279,14 +276,11 @@ if __name__ == "__main__":
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with gr.Column():
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gr.Markdown("### About the Model")
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gr.Markdown(
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"-
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)
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gr.Markdown(
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"- The two most important parameters-empirically-are the `num_beams` and `token_batch_length`. "
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)
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gr.Markdown(
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"- The model can be used with tag [pszemraj/led-large-book-summary](https://huggingface.co/pszemraj/led-large-book-summary). See the model card for details on usage & a Colab notebook for a tutorial."
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)
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gr.Markdown("---")
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load_examples_button.click(
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with demo:
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gr.Markdown("# Long-Form Summarization: LED & BookSum")
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with gr.Column():
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gr.Markdown("## Load Inputs & Select Parameters")
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label="Beam Search: # of Beams",
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value=2,
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)
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gr.Markdown("Load a a .txt - example or your own (_You may find [this OCR space](https://huggingface.co/spaces/aifanextreme/pdf-ocr) useful_)")
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with gr.Row():
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example_name = gr.Dropdown(
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_examples,
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with gr.Column():
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gr.Markdown("### About the Model")
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gr.Markdown(
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"- This model is a fine-tuned checkpoint of [allenai/led-large-16384](https://huggingface.co/allenai/led-large-16384) on the [BookSum dataset](https://arxiv.org/abs/2105.08209).The goal was to create a model that can generalize well and is useful in summarizing lots of text in academic and daily usage."
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)
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gr.Markdown(
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"- The two most important parameters-empirically-are the `num_beams` and `token_batch_length`. "
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)
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gr.Markdown("---")
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load_examples_button.click(
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