Daniel Nichols commited on
Commit
837a7fe
·
1 Parent(s): ae18ce3

update wording to remove perfguru references

Browse files
Files changed (1) hide show
  1. src/perfguru.py +4 -4
src/perfguru.py CHANGED
@@ -115,9 +115,9 @@ def handle_vote(prompt, vote, response1, source1, full_prompt1, response2, sourc
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  # Define the Gradio interface
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  with gr.Blocks(css=".not-voted p { color: black; } .voted p { color: green; } .response { padding: 25px; } .response-md { padding: 20px; }") as interface:
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- gr.Markdown("""# PerfGuru: Code Performance Chatbot
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- Welcome to PerfGuru!
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  This is a tool for assisting developers in identifying performance bottlenecks in their code and optimizing them using LLMs.
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  Upload your code files and a performance profile (if available) to get started. Then ask away!
@@ -139,13 +139,13 @@ with gr.Blocks(css=".not-voted p { color: black; } .voted p { color: green; } .r
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  gr.Markdown("---")
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  gr.Markdown("""## Ask a Question
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- Now you can ask a question about your code performance and chat with PerfGuru!
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  Once you receive two responses, vote on which one you found more helpful.""")
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  default_question = "Can you help me identify and fix performance bugs in this code?"
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  prompt = gr.Textbox(label="Ask a question about your code performance", value=default_question)
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- chat_button = gr.Button("Chat with PerfGuru", interactive=False)
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  with gr.Row(equal_height=True):
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  with gr.Column():
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  with gr.Accordion("Response 1", elem_classes=["response"]):
 
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  # Define the Gradio interface
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  with gr.Blocks(css=".not-voted p { color: black; } .voted p { color: green; } .response { padding: 25px; } .response-md { padding: 20px; }") as interface:
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+ gr.Markdown("""# Code Performance Chatbot
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+ Welcome to the performance analysis chatbot!
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  This is a tool for assisting developers in identifying performance bottlenecks in their code and optimizing them using LLMs.
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  Upload your code files and a performance profile (if available) to get started. Then ask away!
 
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  gr.Markdown("---")
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  gr.Markdown("""## Ask a Question
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+ Now you can ask a question about your code performance!
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  Once you receive two responses, vote on which one you found more helpful.""")
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  default_question = "Can you help me identify and fix performance bugs in this code?"
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  prompt = gr.Textbox(label="Ask a question about your code performance", value=default_question)
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+ chat_button = gr.Button("Chat About Performance", interactive=False)
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  with gr.Row(equal_height=True):
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  with gr.Column():
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  with gr.Accordion("Response 1", elem_classes=["response"]):