zamalali commited on
Commit
f1e023c
·
1 Parent(s): 2da0a7b

Remove consent text and button from DeepGit Lite UI, streamline main block visibility, and adjust GPU wrapper annotation

Browse files
Files changed (1) hide show
  1. app.py +2 -24
app.py CHANGED
@@ -60,18 +60,6 @@ DeepGit Lite is a streamlined tool for semantic search on GitHub repositories. I
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  </p>
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  """
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- consent_text = """
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- <div>
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- <p>
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- By using DeepGit Lite, you consent to temporary processing of your query for semantic search and ranking purposes.
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- </p>
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- <p>
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- ⭐ Star us on GitHub if you find this tool useful!<br/>
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- <a href="https://github.com/zamalali/DeepGit" target="_blank">GitHub</a>
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- </p>
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- </div>
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- """
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-
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  footer = """
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  <div>
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  Made with ❤️ by <b>Zamal</b>
@@ -114,7 +102,7 @@ def parse_result_to_html(raw_result: str) -> str:
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  # ---------------------------
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  # GPU-enabled Wrapper for Repository Ranking
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  # ---------------------------
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- @spaces.GPU(duration=180)
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  def gpu_run_repo(topic: str):
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  return run_repository_ranking(topic)
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@@ -156,11 +144,7 @@ with gr.Blocks() as demo:
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  gr.HTML(title)
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  gr.HTML(description)
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- with gr.Column() as consent_block:
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- gr.HTML(consent_text)
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- agree_button = gr.Button("I Agree", variant="primary")
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-
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- with gr.Column(visible=False) as main_block:
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  research_input = gr.Textbox(
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  label="Research Topic",
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  placeholder="Enter your research topic here, e.g., 'Fine tuning Instruction tuned LLama models...'",
@@ -172,11 +156,6 @@ with gr.Blocks() as demo:
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  output_html = gr.HTML("")
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  state = gr.State([])
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- def enable_main():
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- return gr.update(visible=False), gr.update(visible=True)
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-
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- agree_button.click(fn=enable_main, inputs=[], outputs=[consent_block, main_block], queue=False)
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-
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  # Yield an initial status message for immediate feedback
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  def lite_runner(topic):
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  yield "Workflow started", "<p>Processing your request. Please wait...</p>"
@@ -202,4 +181,3 @@ with gr.Blocks() as demo:
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  gr.HTML(footer)
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  demo.queue(max_size=10).launch()
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-
 
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  </p>
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  """
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  footer = """
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  <div>
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  Made with ❤️ by <b>Zamal</b>
 
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  # ---------------------------
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  # GPU-enabled Wrapper for Repository Ranking
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  # ---------------------------
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+ #@spaces.GPU(duration=180)
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  def gpu_run_repo(topic: str):
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  return run_repository_ranking(topic)
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  gr.HTML(title)
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  gr.HTML(description)
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+ with gr.Column():
 
 
 
 
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  research_input = gr.Textbox(
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  label="Research Topic",
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  placeholder="Enter your research topic here, e.g., 'Fine tuning Instruction tuned LLama models...'",
 
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  output_html = gr.HTML("")
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  state = gr.State([])
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  # Yield an initial status message for immediate feedback
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  def lite_runner(topic):
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  yield "Workflow started", "<p>Processing your request. Please wait...</p>"
 
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  gr.HTML(footer)
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  demo.queue(max_size=10).launch()