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Update src/about.py

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@@ -52,12 +52,7 @@ LLM_BENCHMARKS_TEXT = f"""
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  - The task measures how well models can extract critical structural features important for protein-protein interactions.
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  ### PROBE is part of the the study entitled [Learning functional properties of proteins with language models](https://rdcu.be/cJAKN) which is schematically summarized in the figure below:<br/>
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-
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- ![Summary of The Study](https://raw.githubusercontent.com/tuncadogan/PROBE/refs/heads/master/PROBE_workflow_figure.jpg)
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-
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- ### If you find PROBE useful please consider citing!
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  """
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-
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  EVALUATION_QUEUE_TEXT = """
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  # **Benchmarking your own representation model**
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  ## To run the benchmarks, the following representation vectors need to be generated:
 
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  - The task measures how well models can extract critical structural features important for protein-protein interactions.
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  ### PROBE is part of the the study entitled [Learning functional properties of proteins with language models](https://rdcu.be/cJAKN) which is schematically summarized in the figure below:<br/>
 
 
 
 
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  """
 
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  EVALUATION_QUEUE_TEXT = """
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  # **Benchmarking your own representation model**
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  ## To run the benchmarks, the following representation vectors need to be generated: