Merge branch 'main' of https://huggingface.co/spaces/pszemraj/summarize-long-text

app.py

@@ -40,7 +40,7 @@ def proc_submission(
         token_batch_length (int): the length of the token batches to use
         length_penalty (float): the length penalty to use
         repetition_penalty (float): the repetition penalty to use
-        no_repeat_ngram_size (int): the no repeat ngram size to use
+        no_repeat_ngram_size (int): the no-repeat ngram size to use
         max_input_length (int, optional): the maximum input length to use. Defaults to 1024.
 
     Returns:
@@ -181,13 +181,13 @@ if __name__ == "__main__":
 
         gr.Markdown("# Long-Form Summarization: LED & BookSum")
         gr.Markdown(
-            "A simple demo using a fine-tuned LED model to summarize long-form text. See [model card](https://huggingface.co/pszemraj/led-large-book-summary) for a notebook with GPU inference (much faster) on Colab."
+            "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)"
         )
         with gr.Column():
 
             gr.Markdown("## Load Inputs & Select Parameters")
             gr.Markdown(
-                "Enter text below in the text area. The text will be summarized [using the selected parameters](https://huggingface.co/blog/how-to-generate). Optionally load an example below or upload a file."
+                "Enter or upload text below, and it will be summarized [using the selected parameters](https://huggingface.co/blog/how-to-generate). "
             )
             with gr.Row():
                 model_size = gr.Radio(
@@ -198,7 +198,7 @@ if __name__ == "__main__":
                     label="Beam Search: # of Beams",
                     value=2,
                 )
-            gr.Markdown("Load an example or a `.txt` file (_You may find [this OCR space](https://huggingface.co/spaces/pszemraj/pdf-ocr) useful_)")
+            gr.Markdown("Load a a .txt - example or your own (_You may find [this OCR space](https://huggingface.co/spaces/pszemraj/pdf-ocr) useful_)")
             with gr.Row():
                 example_name = gr.Dropdown(
                     _examples,
@@ -285,7 +285,7 @@ if __name__ == "__main__":
                 "- The two most important parameters-empirically-are the `num_beams` and `token_batch_length`.  "
             )
             gr.Markdown(
-                "- 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 notebook for a tutorial."
+                "- 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."
             )
             gr.Markdown("---")