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https://github.com/harry0703/MoneyPrinterTurbo.git
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feat: integrate Google Gemini TTS with 15 voice options
- Add gemini_tts() function with proper PCM audio handling - Support 15 Gemini voices (Zephyr, Puck, Kore, etc.) - Fix audio data format issue preventing video generation - Add Gemini TTS option to WebUI settings - Update .gitignore to exclude debug files
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zhangxindong
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7
.gitignore
vendored
7
.gitignore
vendored
@ -26,3 +26,10 @@ node_modules
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venv/
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.venv
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# Debug and test files
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CLAUDE.md
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debug/
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debug_*.py
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test_*.py
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streamlit.log
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@ -42,6 +42,39 @@ def get_siliconflow_voices() -> list[str]:
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]
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def get_gemini_voices() -> list[str]:
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"""
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获取Gemini TTS的声音列表
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Returns:
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声音列表，格式为 ["gemini:Zephyr-Female", "gemini:Puck-Male", ...]
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"""
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# Gemini TTS支持的语音列表
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voices_with_gender = [
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("Zephyr", "Female"),
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("Puck", "Male"),
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("Charon", "Male"),
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("Kore", "Female"),
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("Fenrir", "Male"),
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("Aoede", "Female"),
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("Thalia", "Female"),
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("Sage", "Male"),
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("Echo", "Female"),
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("Harmony", "Female"),
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("Lux", "Female"),
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("Nova", "Female"),
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("Vale", "Male"),
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("Orion", "Male"),
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("Atlas", "Male"),
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]
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# 添加gemini:前缀，并格式化为显示名称
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return [
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f"gemini:{voice}-{gender}"
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for voice, gender in voices_with_gender
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]
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def get_all_azure_voices(filter_locals=None) -> list[str]:
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azure_voices_str = """
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Name: af-ZA-AdriNeural
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@ -1077,6 +1110,11 @@ def is_siliconflow_voice(voice_name: str):
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return voice_name.startswith("siliconflow:")
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def is_gemini_voice(voice_name: str):
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"""检查是否是Gemini TTS的声音"""
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return voice_name.startswith("gemini:")
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def tts(
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text: str,
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voice_name: str,
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@ -1103,6 +1141,18 @@ def tts(
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else:
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logger.error(f"Invalid siliconflow voice name format: {voice_name}")
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return None
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elif is_gemini_voice(voice_name):
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# 从voice_name中提取声音名称
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# 格式: gemini:voice-Gender
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parts = voice_name.split(":")
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if len(parts) >= 2:
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# 移除性别后缀，例如 "Zephyr-Female" -> "Zephyr"
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voice_with_gender = parts[1]
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voice = voice_with_gender.split("-")[0]
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return gemini_tts(text, voice, voice_rate, voice_file, voice_volume)
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else:
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logger.error(f"Invalid gemini voice name format: {voice_name}")
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return None
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return azure_tts_v1(text, voice_name, voice_rate, voice_file)
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@ -1384,6 +1434,130 @@ def azure_tts_v2(text: str, voice_name: str, voice_file: str) -> Union[SubMaker,
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return None
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def gemini_tts(
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text: str,
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voice_name: str,
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voice_rate: float,
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voice_file: str,
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voice_volume: float = 1.0,
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) -> Union[SubMaker, None]:
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"""
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使用Google Gemini TTS生成语音
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Args:
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text: 要转换的文本
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voice_name: 语音名称，如 "Zephyr", "Puck" 等
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voice_rate: 语音速率（当前未使用）
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voice_file: 输出音频文件路径
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voice_volume: 音频音量（当前未使用）
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Returns:
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SubMaker对象或None
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"""
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import base64
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import json
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import io
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from pydub import AudioSegment
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import google.generativeai as genai
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try:
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# 配置Gemini API
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api_key = config.app.get("gemini_api_key", "")
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if not api_key:
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logger.error("Gemini API key is not set")
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return None
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genai.configure(api_key=api_key)
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logger.info(f"start, voice name: {voice_name}, try: 1")
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# 使用Gemini TTS API
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model = genai.GenerativeModel("gemini-2.5-flash-preview-tts")
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generation_config = {
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"response_modalities": ["AUDIO"],
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"speech_config": {
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"voice_config": {
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"prebuilt_voice_config": {
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"voice_name": voice_name
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}
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}
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}
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}
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response = model.generate_content(
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contents=text,
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generation_config=generation_config
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)
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# 检查响应
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if not response.candidates or not response.candidates[0].content:
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logger.error("No audio content received from Gemini TTS")
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return None
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# 获取音频数据
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audio_data = None
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for part in response.candidates[0].content.parts:
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if hasattr(part, 'inline_data') and part.inline_data:
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audio_data = part.inline_data.data
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break
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if not audio_data:
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logger.error("No audio data found in response")
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return None
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# 音频数据已经是原始字节，不需要base64解码
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if isinstance(audio_data, str):
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# 如果是字符串，则需要base64解码
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audio_bytes = base64.b64decode(audio_data)
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else:
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# 如果已经是字节，直接使用
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audio_bytes = audio_data
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# 尝试不同的音频格式 - Gemini可能返回不同的格式
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audio_segment = None
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# Gemini返回Linear PCM格式，按照文档参数解析
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try:
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audio_segment = AudioSegment.from_file(
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io.BytesIO(audio_bytes),
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format="raw",
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frame_rate=24000, # Gemini TTS默认采样率
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channels=1, # 单声道
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sample_width=2 # 16-bit
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)
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except Exception as e:
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logger.error(f"Failed to load PCM audio: {e}")
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return None
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# 导出为MP3格式
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audio_segment.export(voice_file, format="mp3")
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logger.info(f"completed, output file: {voice_file}")
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# 创建SubMaker对象用于字幕
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sub_maker = SubMaker()
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audio_duration = len(audio_segment) / 1000.0 # 转换为秒
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# 将音频长度转换为100纳秒单位（与edge_tts兼容）
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audio_duration_100ns = int(audio_duration * 10000000)
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# 使用create_sub方法正确创建字幕项
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sub_maker.create_sub(
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(0, audio_duration_100ns),
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text
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)
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return sub_maker
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except ImportError as e:
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logger.error(f"Missing required package for Gemini TTS: {str(e)}. Please install: pip install pydub")
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return None
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except Exception as e:
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logger.error(f"Gemini TTS failed, error: {str(e)}")
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return None
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def _format_text(text: str) -> str:
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# text = text.replace("\n", " ")
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text = text.replace("[", " ")
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@ -634,6 +634,7 @@ with middle_panel:
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("azure-tts-v1", "Azure TTS V1"),
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("azure-tts-v2", "Azure TTS V2"),
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("siliconflow", "SiliconFlow TTS"),
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("gemini-tts", "Google Gemini TTS"),
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]
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# 获取保存的TTS服务器，默认为v1
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@ -660,6 +661,9 @@ with middle_panel:
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if selected_tts_server == "siliconflow":
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# 获取硅基流动的声音列表
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filtered_voices = voice.get_siliconflow_voices()
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elif selected_tts_server == "gemini-tts":
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# 获取Gemini TTS的声音列表
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filtered_voices = voice.get_gemini_voices()
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else:
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# 获取Azure的声音列表
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all_voices = voice.get_all_azure_voices(filter_locals=None)
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