Spaces:
Running
Running
File size: 3,194 Bytes
750ddf0 76fa02e ca00147 e5832e1 750ddf0 ca00147 72f5d21 ca00147 72f5d21 ca00147 72f5d21 ca00147 72f5d21 ca00147 e5832e1 3b22c2d e5832e1 76fa02e e5832e1 76fa02e 3b22c2d 76fa02e 750ddf0 ca00147 750ddf0 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 |
from __future__ import annotations
import pandas as pd
class PaperList:
def __init__(self):
self.table = pd.read_csv('papers.csv')
self._preprcess_table()
self.table_header = '''
<tr>
<td width="50%">Paper</td>
<td width="25%">Authors</td>
<td width="5%">pdf</td>
<td width="5%">Supplementary</td>
<td width="5%">arXiv</td>
<td width="5%">GitHub</td>
<td width="5%">Hugging Face Spaces</td>
</tr>'''
def _preprcess_table(self) -> None:
self.table['title_lowercase'] = self.table.title.str.lower()
rows = []
for row in self.table.itertuples():
paper = f'<a href="{row.url}" target="_blank">{row.title}</a>'
pdf = f'<a href="{row.pdf}" target="_blank">pdf</a>'
supp = f'<a href="{row.supp}" target="_blank">supp</a>' if isinstance(
row.supp, str) else ''
arxiv = f'<a href="{row.arxiv}" target="_blank">arXiv</a>' if isinstance(
row.arxiv, str) else ''
github = f'<a href="{row.github}" target="_blank">GitHub</a>' if isinstance(
row.github, str) else ''
hf_space = f'<a href="{row.hf_space}" target="_blank">Space</a>' if isinstance(
row.hf_space, str) else ''
row = f'''
<tr>
<td>{paper}</td>
<td>{row.authors}</td>
<td>{pdf}</td>
<td>{supp}</td>
<td>{arxiv}</td>
<td>{github}</td>
<td>{hf_space}</td>
</tr>'''
rows.append(row)
self.table['html_table_content'] = rows
def render(self, search_query: str, case_sensitive: bool,
names_with_link: list[str]) -> tuple[int, str]:
df = self.table
if search_query:
if case_sensitive:
df = df[df.title.str.contains(search_query)]
else:
df = df[df.title_lowercase.str.contains(search_query.lower())]
has_supp = 'Supp' in names_with_link
has_arxiv = 'arXiv' in names_with_link
has_github = 'GitHub' in names_with_link
has_hf_space = 'HF Space' in names_with_link
df = self.filter_table(df, has_supp, has_arxiv, has_github,
has_hf_space)
return len(df), self.to_html(df)
def filter_table(self, df: pd.DataFrame, has_supp: bool, has_arxiv: bool,
has_github: bool, has_hf_space: bool) -> pd.DataFrame:
if has_supp:
df = df[~df.supp.isna()]
if has_arxiv:
df = df[~df.arxiv.isna()]
if has_github:
df = df[~df.github.isna()]
if has_hf_space:
df = df[~df.hf_space.isna()]
return df
def to_html(self, df: pd.DataFrame) -> str:
table_rows = df.html_table_content
table_data = ''.join(table_rows)
html = f'''<table>
{self.table_header}
{table_data}
</table>'''
return html
|