Spaces:
Runtime error
Runtime error
show number of papers found
Browse files
app.py
CHANGED
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@@ -29,7 +29,10 @@ def main():
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'HF Space',
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],
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label='With')
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table = gr.HTML(show_label=False)
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gr.Markdown(FOOTER)
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demo.load(paper_list.render,
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@@ -38,21 +41,30 @@ def main():
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case_sensitive,
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names_with_link,
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],
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-
outputs=
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search_button.click(paper_list.render,
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inputs=[
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search_box,
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case_sensitive,
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names_with_link,
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],
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outputs=
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names_with_link.change(paper_list.render,
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inputs=[
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search_box,
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case_sensitive,
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names_with_link,
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],
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outputs=
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demo.launch(enable_queue=True, share=False)
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'HF Space',
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],
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label='With')
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+
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number_of_papers = gr.Textbox(label='Number of found papers')
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table = gr.HTML(show_label=False)
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+
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gr.Markdown(FOOTER)
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demo.load(paper_list.render,
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case_sensitive,
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names_with_link,
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],
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outputs=[
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number_of_papers,
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table,
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])
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search_button.click(paper_list.render,
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inputs=[
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search_box,
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case_sensitive,
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names_with_link,
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],
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outputs=[
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number_of_papers,
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table,
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])
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names_with_link.change(paper_list.render,
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inputs=[
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search_box,
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case_sensitive,
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names_with_link,
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],
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outputs=[
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number_of_papers,
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table,
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])
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demo.launch(enable_queue=True, share=False)
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papers.py
CHANGED
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@@ -20,7 +20,7 @@ class PaperList:
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</tr>'''
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def render(self, search_query: str, case_sensitive: bool,
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names_with_link: list[str]) -> str:
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df = self.table
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if search_query:
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if case_sensitive:
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@@ -33,7 +33,7 @@ class PaperList:
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has_hf_space = 'HF Space' in names_with_link
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df = self.filter_table(df, has_supp, has_arxiv, has_github,
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has_hf_space)
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return self.to_html(df)
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def filter_table(self, df: pd.DataFrame, has_supp: bool, has_arxiv: bool,
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has_github: bool, has_hf_space: bool) -> pd.DataFrame:
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</tr>'''
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def render(self, search_query: str, case_sensitive: bool,
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names_with_link: list[str]) -> tuple[int, str]:
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df = self.table
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if search_query:
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if case_sensitive:
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has_hf_space = 'HF Space' in names_with_link
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df = self.filter_table(df, has_supp, has_arxiv, has_github,
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has_hf_space)
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return len(df), self.to_html(df)
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def filter_table(self, df: pd.DataFrame, has_supp: bool, has_arxiv: bool,
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has_github: bool, has_hf_space: bool) -> pd.DataFrame:
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