alrope commited on
Commit
472397d
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1 Parent(s): 6b1b6df

Disabled Restart

Browse files
Files changed (1) hide show
  1. app.py +3 -30
app.py CHANGED
@@ -37,7 +37,6 @@ href_data_nongreedy = prep_df(load_all_data(local_result_dir, subdir="temperatur
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  col_types_href = ["number"] + ["markdown"] + ["number"] * int((len(href_data_greedy.columns) - 1) / 2)
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  col_types_href_hidden = ["number"] + ["markdown"] + ["number"] * (len(href_data_greedy.columns) - 1)
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  categories = ['Average', 'Brainstorm', 'Open QA', 'Closed QA', 'Extract', 'Generation', 'Rewrite', 'Summarize', 'Classify', "Reasoning Over Numerical Data", "Multi-Document Synthesis", "Fact Checking or Attributed QA"]
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- # categories = ['Average', 'Brainstorm', 'Open QA', 'Closed QA', 'Extract', 'Generation', 'Rewrite', 'Summarize', 'Classify']
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  # for showing random samples
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  eval_set = load_dataset(eval_set_repo, use_auth_token=COLLAB_TOKEN, split="dev")
@@ -91,9 +90,6 @@ with gr.Blocks(css=custom_css) as app:
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  with gr.Column(scale=8):
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  gr.Markdown(TOP_TEXT.format(str(total_models)))
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  with gr.Column(scale=2):
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- # search = gr.Textbox(label="Model Search (delimit with , )", placeholder="Regex search for a model")
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- # filter_button = gr.Checkbox(label="Include AI2 training runs (or type ai2 above).", interactive=True)
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- # img = gr.Image(value="https://private-user-images.githubusercontent.com/10695622/310698241-24ed272a-0844-451f-b414-fde57478703e.png", width=500)
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  gr.Markdown("""
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  <img src="file/src/logo.png" height="130">
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  """)
@@ -120,29 +116,6 @@ with gr.Blocks(css=custom_css) as app:
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  interactive=False,
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  height=1000,
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  )
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- # with gr.TabItem("Non-Greedy"):
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- # with gr.Row():
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- # search_2 = gr.Textbox(label="Model Search (delimit with , )",
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- # # placeholder="Model Search (delimit with , )",
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- # show_label=True)
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- # category_selector_2 = gr.Dropdown(categories, label="Sorted By", value="Average",
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- # multiselect=False, show_label=True, elem_id="category_selector")
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- # with gr.Row():
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- # # reference data
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- # rewardbench_table_hidden_nongreedy = gr.Dataframe(
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- # href_data_nongreedy.values,
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- # datatype=col_types_href_hidden,
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- # headers=href_data_nongreedy.columns.tolist(),
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- # visible=False,
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- # )
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- # rewardbench_table_nongreedy = gr.Dataframe(
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- # regex_table(href_data_nongreedy.copy(), "", "Average"),
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- # datatype=col_types_href,
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- # headers=href_data_nongreedy.columns.tolist(),
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- # elem_id="href_data_nongreedy",
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- # interactive=False,
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- # height=1000,
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- # )
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  with gr.TabItem("About"):
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  with gr.Row():
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  gr.Markdown(ABOUT_TEXT)
@@ -180,7 +153,7 @@ with gr.Blocks(css=custom_css) as app:
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  )
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- scheduler = BackgroundScheduler()
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- scheduler.add_job(restart_space, "interval", seconds=10800) # restarted every 3h
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- scheduler.start()
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  app.launch(allowed_paths=['src/']) # had .queue() before launch before... not sure if that's necessary
 
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  col_types_href = ["number"] + ["markdown"] + ["number"] * int((len(href_data_greedy.columns) - 1) / 2)
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  col_types_href_hidden = ["number"] + ["markdown"] + ["number"] * (len(href_data_greedy.columns) - 1)
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  categories = ['Average', 'Brainstorm', 'Open QA', 'Closed QA', 'Extract', 'Generation', 'Rewrite', 'Summarize', 'Classify', "Reasoning Over Numerical Data", "Multi-Document Synthesis", "Fact Checking or Attributed QA"]
 
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  # for showing random samples
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  eval_set = load_dataset(eval_set_repo, use_auth_token=COLLAB_TOKEN, split="dev")
 
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  with gr.Column(scale=8):
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  gr.Markdown(TOP_TEXT.format(str(total_models)))
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  with gr.Column(scale=2):
 
 
 
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  gr.Markdown("""
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  <img src="file/src/logo.png" height="130">
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  """)
 
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  interactive=False,
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  height=1000,
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  )
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  with gr.TabItem("About"):
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  with gr.Row():
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  gr.Markdown(ABOUT_TEXT)
 
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  )
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+ # scheduler = BackgroundScheduler()
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+ # scheduler.add_job(restart_space, "interval", seconds=10800) # restarted every 3h
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+ # scheduler.start()
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  app.launch(allowed_paths=['src/']) # had .queue() before launch before... not sure if that's necessary