[Refector] visualization

[Yunnglin]

No description provided.

[Copilot]

Pull Request Overview

This PR refactors and modularizes the visualization and UI logic for the Evalscope dashboard, extracts shared utilities, and cleans up the main application module. Key changes include:

• Breaking out UI components into app/ui submodules and consolidating create_app_ui.
• Adding visualization and text‐processing utilities under app/utils.
• Minor fixes in tests (test_run.py) and the server adapter (server_adapter.py).

Reviewed Changes

Copilot reviewed 15 out of 15 changed files in this pull request and generated 4 comments.

Show a summary per file

File	Description
tests/cli/test_run.py	Updated default model to qwen-max and enabled additional datasets.
evalscope/models/adapters/server_adapter.py	Fixed API key reference to use self.api_key.
evalscope/app/utils/visualization.py	Added charting helpers for bar, sunburst, and radar plots.
evalscope/app/utils/text_utils.py	Introduced markdown/text conversion utilities.
evalscope/app/utils/localization.py	Centralized locale lookups for sidebar and visualization.
evalscope/app/utils/data_utils.py	Extracted data loading/processing logic into utilities.
evalscope/app/ui/visualization.py	Created top‐level visualization container with tabs.
evalscope/app/ui/single_model.py	Moved single‐model UI and interactions into its own module.
evalscope/app/ui/multi_model.py	Moved multi‐model UI and comparison logic into its own module.
evalscope/app/ui/sidebar.py	Extracted sidebar layout and report scanning interactions.
evalscope/app/ui/app_ui.py	Added create_app_ui entry point for assembling the UI.
evalscope/app/app.py	Cleaned up and delegated to create_app_ui; removed duplication.
docs/generate_dataset_md.py	Updated dataset markdown generator to use localized helpers.
docs/en/get_started/supported_dataset/llm.md	Fixed table header underline length to match columns.

Comments suppressed due to low confidence (1)

evalscope/app/utils/visualization.py:18

• [nitpick] This utility lacks a docstring. Consider adding a brief description of its purpose, parameters, and return value.

def plot_single_report_scores(df: pd.DataFrame):