BtB-ExpC commited on
Commit
7aead4f
·
1 Parent(s): 625f709
Files changed (1) hide show
  1. app.py +3 -3
app.py CHANGED
@@ -198,7 +198,7 @@ with gr.Blocks() as interface:
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  gr.HTML(
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  """
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  <div style="margin-bottom: 10px;">
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- <span style="font-size: 1.5em; cursor: help;" title="Diagnose exercise for the 4 most common issues. The Exercise Format dropdown decides into what standardized format the exercise is converted initially for intermediate processing, to ensure reliable performance and consistent results. Claude typically works better with XML, OpenAI better with markdown. Sampling count = amount of responses.">
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  ℹ️ <i>←</i>
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  </span>
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  </div>
@@ -216,7 +216,7 @@ with gr.Blocks() as interface:
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  exercise_format_validate = gr.Dropdown(
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  choices=["Markdown", "XML", "Plaintext", "Raw (input unconverted)"],
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  value="Markdown",
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- label="Exercise Format (for intermediate processing",
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  interactive=True,
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  )
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  sampling_count_validate = gr.Dropdown(
@@ -287,7 +287,7 @@ with gr.Blocks() as interface:
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  intermediate_distractors_specification = gr.Dropdown(
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  choices=["", "2", "3", "4", "5", "6", "7", "8", "9", "10", "a few", "some", "a whole lot of", "a wide range of", "novel"],
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  value="8",
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- label="Brainstorm X intermediate distractors (done x4)",
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  interactive=True,
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  )
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  final_distractors_specification = gr.Dropdown(
 
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  gr.HTML(
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  """
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  <div style="margin-bottom: 10px;">
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+ <span style="font-size: 1.5em; cursor: help;" title="Diagnose exercise for the 4 most common issues. The Exercise Format dropdown decides into what standardized format the exercise is converted initially for intermediate processing, to ensure reliable performance and consistent results. Claude typically works better with XML, OpenAI better with markdown. Response count = amount of responses that will be generated (costing 5 LLM calls each)">
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  ℹ️ <i>←</i>
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  </span>
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  </div>
 
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  exercise_format_validate = gr.Dropdown(
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  choices=["Markdown", "XML", "Plaintext", "Raw (input unconverted)"],
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  value="Markdown",
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+ label="Exercise Format (for intermediate processing)",
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  interactive=True,
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  )
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  sampling_count_validate = gr.Dropdown(
 
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  intermediate_distractors_specification = gr.Dropdown(
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  choices=["", "2", "3", "4", "5", "6", "7", "8", "9", "10", "a few", "some", "a whole lot of", "a wide range of", "novel"],
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  value="8",
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+ label="Brainstorm Nx4 distractors",
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  interactive=True,
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  )
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  final_distractors_specification = gr.Dropdown(