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from __future__ import annotations
import numpy as np
import pandas as pd
import requests
from huggingface_hub.hf_api import SpaceInfo
url = 'https://docs.google.com/spreadsheets/d/1fANyV8spnEGUBMevjnb1FupkbESq9lTM2CGQt413sXQ/edit#gid=874079331'
csv_url = url.replace('/edit#gid=', '/export?format=csv&gid=')
class ModelList:
def __init__(self):
self.table = pd.read_csv(csv_url)
self._preprocess_table()
self.table_header = '''
<tr>
<td width="20%">Model Name</td>
<td width="10%">Data Type(s)</td>
<td width="10%">Year Published</td>
<td width="10%">Paper</td>
<td width="10%">Code on Github</td>
<td width="10%">Weights on 🤗</td>
<td width="10%">Other Weights</td>
</tr>'''
def _preprocess_table(self) -> None:
self.table['name_lowercase'] = self.table.name.str.lower()
rows = []
for row in self.table.itertuples():
paper = f'<a href="{row.paper}" target="_blank">Paper</a>' if isinstance(
row.paper, str) else ''
github = f'<a href="{row.github}" target="_blank">GitHub</a>' if isinstance(
row.github, str) else ''
hf_model = f'<a href="{row.hub}" target="_blank">Hub Model</a>' if isinstance(
row.hub, str) else ''
other_model = f'<a href="{row.other}" target="_blank">Other Weights</a>' if isinstance(
row.other, str) else ''
row = f'''
<tr>
<td>{row.name}</td>
<td>{row.type}</td>
<td>{row.year}</td>
<td>{paper}</td>
<td>{github}</td>
<td>{hf_model}</td>
<td>{other_model}</td>
</tr>'''
rows.append(row)
self.table['html_table_content'] = rows
def render(self, search_query: str,
case_sensitive: bool,
filter_names: list[str],
data_types: list[str]) -> tuple[int, str]:
df = self.table
if search_query:
if case_sensitive:
df = df[df.name.str.contains(search_query)]
else:
df = df[df.name_lowercase.str.contains(search_query.lower())]
has_paper = 'Paper' in filter_names
has_github = 'Code' in filter_names
has_model = 'Model Weights' in filter_names
df = self.filter_table(df, has_paper, has_github, has_model, data_types)
return len(df), self.to_html(df, self.table_header)
@staticmethod
def filter_table(df: pd.DataFrame, has_paper: bool, has_github: bool,
has_model: bool, data_types: list[str]) -> pd.DataFrame:
if has_paper:
df = df[~df.paper.isna()]
if has_github:
df = df[~df.github.isna()]
if has_model:
df = df[~df.hub.isna() | ~df.other.isna()]
df = df[df.type.isin(set(data_types))]
return df
@staticmethod
def to_html(df: pd.DataFrame, table_header: str) -> str:
table_data = ''.join(df.html_table_content)
html = f'''
<table>
{table_header}
{table_data}
</table>'''
return html |