Update app.py

app.py

@@ -1,207 +0,0 @@
-import gradio as gr
-import json
-import pandas as pd
-from urllib.request import urlopen
-from urllib.error import URLError
-import re
-from datetime import datetime
-
-# Constants
-CITATION_BUTTON_TEXT = r"""@misc{2023opencompass,
-    title={OpenCompass: A Universal Evaluation Platform for Foundation Models},
-    author={OpenCompass Contributors},
-    howpublished = {\url{https://github.com/open-compass/opencompass}},
-    year={2023}
-}"""
-CITATION_BUTTON_LABEL = "Copy the following snippet to cite these results"
-# 开发环境
-# DATA_URL_BASE = "http://opencompass.oss-cn-shanghai.aliyuncs.com/dev-assets/research-rank/research-data.REALTIME."
-# DATA_URL_BASE = "./s1test"
-# 生产环境
-DATA_URL_BASE = "http://opencompass.oss-cn-shanghai.aliyuncs.com/assets/research-rank/research-data.REALTIME."
-
-
-def find_latest_data_url():
-    """Find the latest available data URL by trying different dates."""
-    today = datetime.now()
-    for i in range(365):
-        date = today.replace(day=today.day - i)
-        date_str = date.strftime("%Y%m%d")
-        url = f"{DATA_URL_BASE}{date_str}.json"
-        try:
-            urlopen(url)
-            return url, date_str
-        except URLError:
-            continue
-    breakpoint()
-    return None, None
-
-
-def get_latest_data():
-    """Get latest data URL and update time"""
-    data_url, update_time = find_latest_data_url()
-    if not data_url:
-        raise Exception("Could not find valid data URL")
-    formatted_update_time = datetime.strptime(update_time, "%Y%m%d").strftime("%Y-%m-%d")
-    return data_url, formatted_update_time
-
-
-def get_leaderboard_title(update_time):
-    return f"# Supported Datasets List (Last Updated: {update_time})"
-
-
-MAIN_DESCRIPTION = """## The List of Datasets Supported by OpenCompass
-Testing line.
-- All configurations and datsets can be found in [**OpenCompass**: A Toolkit for Evaluation of LLMs](https://github.com/open-compass/opencompass)🏆.
-"""
-
-
-
-
-def load_data(data_url):
-    response = urlopen(data_url)
-
-    with open('s1.json','r',encoding='utf8') as f:
-        data = json.load(f)
-
-    return data
-
-
-def build_main_table(data):
-    df = pd.DataFrame(data).transpose()
-    columns = {
-        'name': 'Name', 'category': 'Category', 'article': 'Article Address',
-    }
-    df = df[list(columns.keys())].rename(columns=columns)
-    return df
-
-
-DATA_CATEGORY = ['med', 'law', 'code']
-
-def filter_table1(df, data_category):
-    filtered_df = df.copy()
-    if data_category:
-        mask = pd.Series(False, index=filtered_df.index)
-        for category in data_category:
-            mask |= filtered_df['Category'] == category
-        filtered_df = filtered_df[mask]
-
-    return filtered_df
-
-
-def calculate_column_widths(df):
-    column_widths = []
-    for column in df.columns:
-        header_length = len(str(column))
-        max_content_length = df[column].astype(str).map(len).max()
-        width = max(header_length * 10, max_content_length * 8) + 20
-        width = max(160, min(400, width))
-        column_widths.append(width)
-    return column_widths
-
-
-class DataState:
-    def __init__(self):
-        self.current_df = None
-
-
-data_state = DataState()
-
-
-def create_interface():
-    empty_df = pd.DataFrame(columns=[
-        'Name', 'Category', 'Article Address'
-    ])
-
-    def load_initial_data():
-        try:
-            data_url, update_time = get_latest_data()
-            data = load_data(data_url)
-            new_df = build_main_table(data)
-            data_state.current_df = new_df
-            filtered_df = filter_table1(new_df, DATA_CATEGORY)
-            return get_leaderboard_title(update_time), filtered_df.sort_values("Name", ascending=True)
-        except Exception as e:
-            print(f"Error loading initial data: {e}")
-            return "# Supported Datasets List (Error loading data)", empty_df
-
-    def refresh_data():
-        try:
-            data_url, update_time = get_latest_data()
-            data = load_data(data_url)
-            new_df = build_main_table(data)
-            data_state.current_df = new_df
-            filtered_df = filter_table1(new_df, DATA_CATEGORY)
-            return get_leaderboard_title(update_time), filtered_df.sort_values("Name", ascending=True)
-        except Exception as e:
-            print(f"Error refreshing data: {e}")
-            return None, None
-
-    def update_table(category):
-        if data_state.current_df is None:
-            return empty_df
-        filtered_df = filter_table1(data_state.current_df, category)
-        return filtered_df.sort_values("Name", ascending=True)
-
-    initial_title, initial_data = load_initial_data()
-
-    with gr.Blocks() as demo:
-        title_comp = gr.Markdown(initial_title)
-
-        with gr.Tabs() as tabs:
-            with gr.TabItem("Dataset List", elem_id='main'):
-                gr.Markdown(MAIN_DESCRIPTION)
-
-                with gr.Row():
-                    with gr.Column():
-                        category_filter = gr.CheckboxGroup(
-                            choices=DATA_CATEGORY,
-                            value=DATA_CATEGORY,
-                            label='Category',
-                            interactive=True,
-                        )
-
-                with gr.Column():
-                    table = gr.DataFrame(
-                        value=initial_data,
-                        interactive=False,
-                        wrap=False,
-                        column_widths=calculate_column_widths(initial_data),
-                    )
-
-                refresh_button = gr.Button("Refresh Data")
-
-                def refresh_and_update():
-                    title, data = refresh_data()
-                    return title, data
-
-                refresh_button.click(
-                    fn=refresh_and_update,
-                    outputs=[title_comp, table],
-                )
-
-                category_filter.change(
-                    fn=update_table,
-                    inputs=[category_filter],
-                    outputs=table,
-                )
-
-
-        with gr.Row():
-            with gr.Accordion("Citation", open=False):
-                citation_button = gr.Textbox(
-                    value=CITATION_BUTTON_TEXT,
-                    label=CITATION_BUTTON_LABEL,
-                    elem_id='citation-button',
-                    lines=6,  # 增加行数
-                    max_lines=8,  # 设置最大行数
-                    show_copy_button=True  # 添加复制按钮使其更方便使用
-                )
-
-    return demo
-
-
-if __name__ == '__main__':
-    demo = create_interface()
-    demo.queue()
-    demo.launch(server_name='0.0.0.0')