Delete app-backup.py

app-backup.py

@@ -1,114 +0,0 @@
-#!/usr/bin/env python
-
-import datetime
-
-import gradio as gr
-import pandas as pd
-from apscheduler.schedulers.background import BackgroundScheduler
-from gradio_calendar import Calendar
-
-from papers import PaperList, get_df
-
-DESCRIPTION = "# [Papers Leaderboard](https://huggingface.co/papers)"
-
-FOOT_NOTE = """\
-Community: https://discord.gg/openfreeai
-"""
-
-
-paper_list = PaperList(get_df())
-
-
-def update_paper_list() -> None:
-    global paper_list  # noqa: PLW0603
-    paper_list = PaperList(get_df())
-
-
-scheduler = BackgroundScheduler()
-scheduler.add_job(func=update_paper_list, trigger="cron", hour="*", timezone="UTC", misfire_grace_time=60)
-scheduler.start()
-
-
-def update_df() -> gr.Dataframe:
-    return gr.Dataframe(value=paper_list.df_prettified)
-
-
-def update_num_papers(df: pd.DataFrame) -> str:
-    return f"{len(df)} / {len(paper_list.df_raw)}"
-
-
-def search(
-    start_date: datetime.datetime,
-    end_date: datetime.datetime,
-    search_title: str,
-    search_abstract: str,
-    max_num_to_retrieve: int,
-) -> pd.DataFrame:
-    return paper_list.search(start_date, end_date, search_title, search_abstract, max_num_to_retrieve)
-
-
-with gr.Blocks(css_paths="style.css") as demo:
-    gr.Markdown(DESCRIPTION)
-    with gr.Group():
-        search_title = gr.Textbox(label="Search title")
-        with gr.Row():
-            with gr.Column(scale=4):
-                search_abstract = gr.Textbox(
-                    label="Search abstract",
-                    info="The result may not be accurate as the abstract does not contain all the information.",
-                )
-            with gr.Column(scale=1):
-                max_num_to_retrieve = gr.Slider(
-                    label="Max number to retrieve",
-                    info="This is used only for search on abstracts.",
-                    minimum=1,
-                    maximum=len(paper_list.df_raw),
-                    step=1,
-                    value=100,
-                )
-        with gr.Row():
-            start_date = Calendar(label="Start date", type="datetime", value="2023-05-05")
-            end_date = Calendar(label="End date", type="datetime")
-
-    num_papers = gr.Textbox(label="Number of papers", value=update_num_papers(paper_list.df_raw), interactive=False)
-    df = gr.Dataframe(
-        value=paper_list.df_prettified,
-        datatype=paper_list.column_datatype,
-        type="pandas",
-        interactive=False,
-        max_height=1000,
-        elem_id="table",
-        column_widths=["10%", "10%", "60%", "10%", "5%", "5%"],
-        wrap=True,
-    )
-
-    gr.Markdown(FOOT_NOTE)
-
-    gr.on(
-        triggers=[start_date.change, end_date.change, search_title.submit, search_abstract.submit],
-        fn=search,
-        inputs=[start_date, end_date, search_title, search_abstract, max_num_to_retrieve],
-        outputs=df,
-        api_name=False,
-    ).then(
-        fn=update_num_papers,
-        inputs=df,
-        outputs=num_papers,
-        queue=False,
-        api_name=False,
-    )
-    demo.load(
-        fn=update_df,
-        outputs=df,
-        queue=False,
-        api_name=False,
-    ).then(
-        fn=update_num_papers,
-        inputs=df,
-        outputs=num_papers,
-        queue=False,
-        api_name=False,
-    )
-
-if __name__ == "__main__":
-    demo.queue(api_open=False).launch(show_api=False)