pszemraj commited on
Commit
8b92e00
·
verified ·
1 Parent(s): dcfd890

no idea why it doesnt work

Files changed (1) hide show
  1. app.py +2 -14
app.py CHANGED
@@ -507,7 +507,7 @@ if __name__ == "__main__":
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  """
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  )
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  with gr.Row(variant="compact"):
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- with gr.Column(scale=0.5, variant="compact"):
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  model_name = gr.Dropdown(
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  choices=MODEL_OPTIONS,
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  value=MODEL_OPTIONS[0],
@@ -537,7 +537,7 @@ if __name__ == "__main__":
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  with gr.Row():
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  input_text = gr.Textbox(
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  lines=4,
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- max_lines=12,
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  label="Text to Summarize",
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  placeholder="Enter text to summarize, the text will be cleaned and truncated on Spaces. Narrative, academic (both papers and lecture transcription), and article text work well. May take a bit to generate depending on the input text :)",
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  )
@@ -643,18 +643,6 @@ if __name__ == "__main__":
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  label="Drop Stopwords (Pre-Truncation)",
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  value=False,
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  )
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- with gr.Column():
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- gr.Markdown("## About")
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- gr.Markdown(
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- "- Models are fine-tuned on the [🅱️ookSum dataset](https://arxiv.org/abs/2105.08209). The goal was to create a model that generalizes well and is useful for summarizing text in academic and everyday use."
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- )
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- gr.Markdown(
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- "- _Update April 2023:_ Additional models fine-tuned on the [PLOS](https://hf.co/datasets/pszemraj/scientific_lay_summarisation-plos-norm) and [ELIFE](https://hf.co/datasets/pszemraj/scientific_lay_summarisation-elife-norm) subsets of the [scientific lay summaries](https://arxiv.org/abs/2210.09932) dataset are available (see dropdown at the top)."
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- )
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- gr.Markdown(
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- "Adjust the max input words & max PDF pages for OCR by duplicating this space and [setting the environment variables](https://hf.co/docs/hub/spaces-overview#managing-secrets) `APP_MAX_WORDS` and `APP_OCR_MAX_PAGES` to the desired integer values."
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- )
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- gr.Markdown("---")
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  load_examples_button.click(
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  fn=load_single_example_text, inputs=[example_name], outputs=[input_text]
 
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  """
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  )
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  with gr.Row(variant="compact"):
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+ with gr.Column(variant="compact"):
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  model_name = gr.Dropdown(
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  choices=MODEL_OPTIONS,
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  value=MODEL_OPTIONS[0],
 
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  with gr.Row():
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  input_text = gr.Textbox(
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  lines=4,
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+ max_lines=8,
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  label="Text to Summarize",
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  placeholder="Enter text to summarize, the text will be cleaned and truncated on Spaces. Narrative, academic (both papers and lecture transcription), and article text work well. May take a bit to generate depending on the input text :)",
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  )
 
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  label="Drop Stopwords (Pre-Truncation)",
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  value=False,
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  )
 
 
 
 
 
 
 
 
 
 
 
 
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  load_examples_button.click(
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  fn=load_single_example_text, inputs=[example_name], outputs=[input_text]