Spaces:
Runtime error
Runtime error
Add columns of Hugging Face Models and Datasets
Browse files- app.py +2 -0
- paper_list.py +23 -8
- papers.csv +2 -2
app.py
CHANGED
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@@ -21,6 +21,8 @@ def main():
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'arXiv',
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'GitHub',
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'HF Space',
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],
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label='With')
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search_box = gr.Textbox(
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'arXiv',
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'GitHub',
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'HF Space',
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'HF Model',
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'HF Dataset',
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],
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label='With')
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search_box = gr.Textbox(
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paper_list.py
CHANGED
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@@ -11,12 +11,14 @@ class PaperList:
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self.table_header = '''
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<tr>
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<td width="50%">Paper</td>
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<td width="
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<td width="
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<td width="
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<td width="
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<td width="
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<td width="
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</tr>'''
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def _preprcess_table(self) -> None:
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@@ -34,6 +36,10 @@ class PaperList:
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row.github, str) else ''
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hf_space = f'<a href="{row.hf_space}" target="_blank">Space</a>' if isinstance(
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row.hf_space, str) else ''
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row = f'''
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<tr>
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<td>{paper}</td>
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@@ -43,6 +49,8 @@ class PaperList:
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<td>{arxiv}</td>
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<td>{github}</td>
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<td>{hf_space}</td>
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</tr>'''
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rows.append(row)
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self.table['html_table_content'] = rows
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@@ -59,12 +67,15 @@ class PaperList:
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has_arxiv = 'arXiv' in filter_names
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has_github = 'GitHub' in filter_names
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has_hf_space = 'HF Space' in filter_names
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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
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if has_supp:
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df = df[~df.supp.isna()]
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if has_arxiv:
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@@ -73,6 +84,10 @@ class PaperList:
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df = df[~df.github.isna()]
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if has_hf_space:
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df = df[~df.hf_space.isna()]
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return df
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def to_html(self, df: pd.DataFrame) -> str:
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self.table_header = '''
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<tr>
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<td width="50%">Paper</td>
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<td width="22%">Authors</td>
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<td width="4%">pdf</td>
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<td width="4%">Supp</td>
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<td width="4%">arXiv</td>
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<td width="4%">GitHub</td>
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<td width="4%">HF Spaces</td>
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<td width="4%">HF Models</td>
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<td width="4%">HF Datasets</td>
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</tr>'''
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def _preprcess_table(self) -> None:
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row.github, str) else ''
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hf_space = f'<a href="{row.hf_space}" target="_blank">Space</a>' if isinstance(
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row.hf_space, str) else ''
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hf_model = f'<a href="{row.hf_model}" target="_blank">Model</a>' if isinstance(
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row.hf_model, str) else ''
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hf_dataset = f'<a href="{row.hf_dataset}" target="_blank">Dataset</a>' if isinstance(
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row.hf_dataset, str) else ''
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row = f'''
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<tr>
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<td>{paper}</td>
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<td>{arxiv}</td>
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<td>{github}</td>
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<td>{hf_space}</td>
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<td>{hf_model}</td>
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<td>{hf_dataset}</td>
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</tr>'''
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rows.append(row)
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self.table['html_table_content'] = rows
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has_arxiv = 'arXiv' in filter_names
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has_github = 'GitHub' in filter_names
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has_hf_space = 'HF Space' in filter_names
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has_hf_model = 'HF Model' in filter_names
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has_hf_dataset = 'HF Dataset' in filter_names
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df = self.filter_table(df, has_supp, has_arxiv, has_github,
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has_hf_space, has_hf_model, has_hf_dataset)
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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, has_hf_model: bool,
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has_hf_dataset: bool) -> pd.DataFrame:
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if has_supp:
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df = df[~df.supp.isna()]
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if has_arxiv:
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df = df[~df.github.isna()]
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if has_hf_space:
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df = df[~df.hf_space.isna()]
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if has_hf_model:
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df = df[~df.hf_model.isna()]
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if has_hf_dataset:
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df = df[~df.hf_dataset.isna()]
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return df
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def to_html(self, df: pd.DataFrame) -> str:
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papers.csv
CHANGED
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:468cc57c8da9a9f2eac6d9363f7c19221e1f03fe72f41ca0df19f0029185ffb6
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+
size 1144297
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