Feature/add-gradio-webui

[ByronLeeeee]

This PR introduces a user-friendly Chinese WebUI based on Gradio, making it easier for users to experience ZipVoice without using the command line.

The WebUI supports: Single-speaker TTS (PyTorch & ONNX), Dialogue TTS, Batch inference via TSV.

To run the WebUI:

1. Install new dependencies: pip install -r requirements-webui.txt

2. Run the script: python webui_zh.py

[Copilot]

Pull Request Overview

This PR introduces a Chinese WebUI for ZipVoice using Gradio, providing a user-friendly interface for TTS tasks without requiring command-line usage. The WebUI supports multiple TTS modes including single-speaker PyTorch/ONNX inference, dialogue synthesis, and batch processing via TSV files.

Key changes:

• Added a comprehensive Chinese WebUI (webui_zh.py) with support for various TTS modes
• Added Gradio dependency for the WebUI functionality
• Fixed encoding issues in existing Python scripts for better Unicode support

Reviewed Changes

Copilot reviewed 4 out of 14 changed files in this pull request and generated 4 comments.

File	Description
webui_zh.py	Main WebUI implementation with Chinese interface for all TTS modes
requirements-webui.txt	Gradio dependency for WebUI functionality
egs/zipvoice_dialog/local/prepare_opendialog.py	Fixed file encoding to UTF-8 for Unicode support
egs/zipvoice/local/prepare_token_file_emilia.py	Fixed file encoding to UTF-8 for Unicode support

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[Copilot]

Setting global environment variables in application code is not recommended. Consider making this configurable through command-line arguments or configuration files, or document this as a China-specific mirror requirement.

Suggested change

	os.environ['HF_ENDPOINT'] = 'https://hf-mirror.com'
	# 如需使用中国大陆 HuggingFace 镜像，请在启动时添加 --hf-mirror 参数，或设置环境变量 USE_HF_MIRROR=1
	if '--hf-mirror' in sys.argv or os.environ.get('USE_HF_MIRROR') == '1':
	os.environ['HF_ENDPOINT'] = 'https://hf-mirror.com'
	logging.info("已启用 HuggingFace 中国大陆镜像 (https://hf-mirror.com)")

[Copilot]

The subprocess call uses shell=False which is good for security, but consider validating the command arguments to prevent potential command injection if any user input reaches this function.

Suggested change

	# --- 核心命令行执行函数 ---
	def run_command(command, progress_desc="正在合成..."):
	"""执行命令行命令并记录输出。"""
	# --- 核心命令行执行函数 ---
	def validate_command_args(command):
	"""验证命令参数，防止命令注入。"""
	if not isinstance(command, (list, tuple)):
	raise gr.Error("命令参数必须为列表或元组。")
	for arg in command:
	if not isinstance(arg, str):
	raise gr.Error("命令参数中的每一项都必须为字符串。")
	if '\x00' in arg:
	raise gr.Error("命令参数中不能包含空字节。")
	# 可根据需要添加更多检查，例如禁止某些特殊字符
	def run_command(command, progress_desc="正在合成..."):
	"""执行命令行命令并记录输出。"""
	validate_command_args(command)

[Copilot]

Truncating error messages to 1000 characters could potentially expose sensitive information from stderr. Consider sanitizing or filtering the error output before displaying it to users.

[Copilot]

Reading user-uploaded files without validation could be a security risk. Consider validating file size, content type, and sanitizing the file path before processing.

Suggested change

	try:
	df = pd.read_csv(file.name, sep='\t', header=None)
	# Validate file size (e.g., max 5MB)
	max_size = 5 * 1024 * 1024 # 5MB
	file.file.seek(0, os.SEEK_END)
	size = file.file.tell()
	file.file.seek(0)
	if size > max_size:
	raise gr.Error("上传的文件过大，最大支持 5MB。")
	# Validate file extension
	allowed_exts = ['.tsv', '.txt']
	_, ext = os.path.splitext(file.name)
	if ext.lower() not in allowed_exts:
	raise gr.Error("仅支持 .tsv 或 .txt 文件。")
	try:
	# Try reading a few bytes to check if it's text
	sample = file.file.read(1024)
	try:
	sample.decode('utf-8')
	except Exception:
	raise gr.Error("文件不是有效的文本文件，请上传 UTF-8 编码的 TSV 文件。")
	file.file.seek(0)
	df = pd.read_csv(file.file, sep='\t', header=None)