baconnier commited on
Commit
fdd8513
1 Parent(s): 5ae82e5

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +44 -44
app.py CHANGED
@@ -245,51 +245,51 @@ input[type="radio"]:checked::after {
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  }
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  """
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- with gr.Blocks(css=custom_css, theme=gr.themes.Default()) as self.interface:
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- with gr.Column(elem_classes=["container", "title-container"]):
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- gr.Markdown("# PROMPT++")
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- gr.Markdown("### Automating Prompt Engineering by Refining your Prompts")
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- gr.Markdown("Learn how to generate an improved version of your prompts.")
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-
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- with gr.Column(elem_classes=["container", "input-container"]):
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- prompt_text = gr.Textbox(
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- label="Type your prompt (or let it empty to see metaprompt)",
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- elem_classes="no-background",
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- lines=5
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- )
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- meta_prompt_choice = gr.Radio(
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- ["star","done","physics","morphosis", "verse", "phor","bolism","math","arpe"],
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- label="Choose Meta Prompt",
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- value="star",
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- elem_classes=["no-background", "radio-group"]
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- )
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-
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- # Option 1: Put Examples here (before Meta Prompt explanation)
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- with gr.Accordion("Examples", open=False):
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- gr.Examples(
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- examples=[
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- ["Write a story on the end of prompt engineering replaced by an Ai specialized in refining prompts.", "star"],
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- ["Tell me about that guy who invented the light bulb", "physics"],
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- ["Explain the universe.", "star"],
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- ["What's the population of New York City and how tall is the Empire State Building and who was the first mayor?", "morphosis"],
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- ["List American presidents.", "verse"],
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- ["Explain why the experiment failed.", "morphosis"],
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- ["Is nuclear energy good?", "verse"],
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- ["How does a computer work?", "phor"],
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- ["How to make money fast?", "done"],
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- ["how can you prove IT0's lemma in stochastic calculus ?", "arpe"],
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- ],
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- inputs=[prompt_text, meta_prompt_choice]
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  )
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-
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- with gr.Accordion("Meta Prompt explanation", open=False):
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- gr.Markdown(explanation_markdown)
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-
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- refine_button = gr.Button("Refine Prompt")
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-
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- # Option 2: Or put Examples here (after the button)
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- # with gr.Accordion("Examples", open=False):
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- # gr.Examples(...)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  with gr.Column(elem_classes=["container", "analysis-container"]):
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  gr.Markdown(' ')
 
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  }
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  """
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+ with gr.Blocks(css=custom_css, theme=gr.themes.Default()) as self.interface:
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+ with gr.Column(elem_classes=["container", "title-container"]):
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+ gr.Markdown("# PROMPT++")
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+ gr.Markdown("### Automating Prompt Engineering by Refining your Prompts")
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+ gr.Markdown("Learn how to generate an improved version of your prompts.")
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+
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+ with gr.Column(elem_classes=["container", "input-container"]):
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+ prompt_text = gr.Textbox(
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+ label="Type your prompt (or let it empty to see metaprompt)",
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+ elem_classes="no-background",
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+ lines=5
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  )
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+ meta_prompt_choice = gr.Radio(
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+ ["star","done","physics","morphosis", "verse", "phor","bolism","math","arpe"],
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+ label="Choose Meta Prompt",
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+ value="star",
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+ elem_classes=["no-background", "radio-group"]
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+ )
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+
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+ # Option 1: Put Examples here (before Meta Prompt explanation)
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+ with gr.Accordion("Examples", open=False):
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+ gr.Examples(
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+ examples=[
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+ ["Write a story on the end of prompt engineering replaced by an Ai specialized in refining prompts.", "star"],
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+ ["Tell me about that guy who invented the light bulb", "physics"],
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+ ["Explain the universe.", "star"],
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+ ["What's the population of New York City and how tall is the Empire State Building and who was the first mayor?", "morphosis"],
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+ ["List American presidents.", "verse"],
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+ ["Explain why the experiment failed.", "morphosis"],
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+ ["Is nuclear energy good?", "verse"],
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+ ["How does a computer work?", "phor"],
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+ ["How to make money fast?", "done"],
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+ ["how can you prove IT0's lemma in stochastic calculus ?", "arpe"],
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+ ],
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+ inputs=[prompt_text, meta_prompt_choice]
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+ )
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+
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+ with gr.Accordion("Meta Prompt explanation", open=False):
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+ gr.Markdown(explanation_markdown)
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+
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+ refine_button = gr.Button("Refine Prompt")
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+
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+ # Option 2: Or put Examples here (after the button)
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+ # with gr.Accordion("Examples", open=False):
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+ # gr.Examples(...)
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  with gr.Column(elem_classes=["container", "analysis-container"]):
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  gr.Markdown(' ')