from __future__ import annotations
import gradio as gr
import numpy as np
import pandas as pd
import requests
from huggingface_hub.hf_api import SpaceInfo
SHEET_ID = '1J_AEBo7l0gtfKSbMLlblY69IXp70UmfBLGW2ZtR_z_c'
SHEET_NAME = 'model'
csv_url = f'https://docs.google.com/spreadsheets/d/{SHEET_ID}/gviz/tq?tqx=out:csv&sheet={SHEET_NAME}'
class ModelList:
def __init__(self):
self.table = pd.read_csv(csv_url)
self._preprocess_table()
self.table_header = '''
| Title |
Link |
Tags |
'''
def _preprocess_table(self) -> None:
self.table['name_lowercase'] = self.table['Title'].str.lower()
rows = []
for row in self.table.itertuples():
source = f'Link' if isinstance(
row.Link, str) else ''
row = f'''
| {row.Title} |
{source} |
{row.Tags} |
'''
rows.append(row)
self.table['html_table_content'] = rows
def render(self, search_query: str,
case_sensitive: bool,
filter_names: 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.name_lowercase.str.contains(search_query.lower())]
df = self.filter_table(df, filter_names)
result = self.to_html(df, self.table_header)
return result
@staticmethod
def filter_table(df: pd.DataFrame, filter_names: list[str]) -> pd.DataFrame:
df = df[df.Tags.str.contains(filter_names)]
return df
@staticmethod
def to_html(df: pd.DataFrame, table_header: str) -> str:
table_data = ''.join(df.html_table_content)
html = f'''
{table_header}
{table_data}
'''
return html
model_list = ModelList()
with gr.Blocks() as demo:
search_box = gr.Textbox(label='Search Title',placeholder='You can search for titles with regular expressions. e.g. (?