Update app.py

app.py

@@ -1,5 +1,82 @@
+from __future__ import annotations
 import gradio as gr
-from model_list import ModelList
+import numpy as np
+import pandas as pd
+import requests
+from huggingface_hub.hf_api import SpaceInfo
+
+SHEET_ID = '1L7AHpWMVU_kZVLcsk8H2FTizgzeVxWPDoBxw7K8KHXw'
+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.table = self.table.astype({'Year':'string'})
+        self._preprocess_table()
+
+        self.table_header = '''
+            <tr>
+                <td width="15%">Name</td>
+                <td width="10%">Year Published</td>
+                <td width="10%">Source</td>
+                <td width="30%">About</td>
+                <td width="10%">Task</td>
+                <td width="15%">Training Data Type</td>
+                <td width="10%">Publication</td>
+            </tr>'''
+
+    def _preprocess_table(self) -> None:
+        self.table['name_lowercase'] = self.table['Name'].str.lower()
+
+        rows = []
+        for row in self.table.itertuples():
+            source = f'<a href="{row.Source}" target="_blank">Link</a>' if isinstance(
+                row.Source, str) else ''
+            paper = f'<a href="{row.Paper}" target="_blank">Link</a>' if isinstance(
+                row.Source, str) else ''
+            row = f'''
+                <tr>
+                    <td>{row.Name}</td>
+                    <td>{row.Year}</td>
+                    <td>{source}</td>
+                    <td>{row.About}</td>
+                    <td>{row.task}</td>
+                    <td>{row.data}</td>
+                    <td>{paper}</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())]
+        df = self.filter_table(df, filter_names, data_types)
+        result = self.to_html(df, self.table_header)
+        return result
+
+    @staticmethod
+    def filter_table(df: pd.DataFrame, filter_names: list[str], data_types: list[str]) -> pd.DataFrame:
+        df = df.loc[df.task.isin(set(filter_names))]
+        df = df.loc[df.data.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
 model_list = ModelList()
 with gr.Blocks() as demo:   
             with gr.Row():