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feat(podcast_generator): add new podcast generation tools
- Introduced podcast generator with text-to-speech functionality using OpenAI's API. - Implemented credential validation for TTS services and API keys. - Added support for generating podcast audio with alternating host voices. - Included user-friendly setup with internationalized YAML configuration. - Added SVG icon to enhance visual identification.
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from typing import Any
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import openai
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from core.tools.errors import ToolProviderCredentialValidationError
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from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
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class PodcastGeneratorProvider(BuiltinToolProviderController):
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def _validate_credentials(self, credentials: dict[str, Any]) -> None:
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tts_service = credentials.get("tts_service")
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api_key = credentials.get("api_key")
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if not tts_service:
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raise ToolProviderCredentialValidationError("TTS service is not specified")
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if not api_key:
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raise ToolProviderCredentialValidationError("API key is missing")
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if tts_service == "openai":
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self._validate_openai_credentials(api_key)
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else:
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raise ToolProviderCredentialValidationError(f"Unsupported TTS service: {tts_service}")
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def _validate_openai_credentials(self, api_key: str) -> None:
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client = openai.OpenAI(api_key=api_key)
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try:
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# We're using a simple API call to validate the credentials
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client.models.list()
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except openai.AuthenticationError:
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raise ToolProviderCredentialValidationError("Invalid OpenAI API key")
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except Exception as e:
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raise ToolProviderCredentialValidationError(f"Error validating OpenAI API key: {str(e)}")
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identity:
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author: Dify
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name: podcast_generator
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label:
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en_US: Podcast Generator
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zh_Hans: 播客生成器
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description:
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en_US: Generate podcast audio using Text-to-Speech services
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zh_Hans: 使用文字转语音服务生成播客音频
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icon: icon.svg
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credentials_for_provider:
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tts_service:
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type: select
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required: true
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label:
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en_US: TTS Service
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zh_Hans: TTS 服务
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placeholder:
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en_US: Select a TTS service
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zh_Hans: 选择一个 TTS 服务
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options:
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- label:
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en_US: OpenAI TTS
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zh_Hans: OpenAI TTS
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value: openai
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api_key:
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type: secret-input
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required: true
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label:
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en_US: API Key
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zh_Hans: API 密钥
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placeholder:
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en_US: Enter your TTS service API key
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zh_Hans: 输入您的 TTS 服务 API 密钥
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import concurrent.futures
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import random
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import struct
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from typing import Any, Literal, Optional, Union
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import openai
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from core.tools.entities.tool_entities import ToolInvokeMessage
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from core.tools.errors import ToolParameterValidationError, ToolProviderCredentialValidationError
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from core.tools.tool.builtin_tool import BuiltinTool
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class PodcastAudioGeneratorTool(BuiltinTool):
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@staticmethod
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def _generate_silence(duration):
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# Generate silent MP3 data
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# This is a simplified version and may not work perfectly with all MP3 players
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# For production use, consider using a proper audio library or pre-generated silence MP3
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sample_rate = 44100
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num_samples = int(duration * sample_rate)
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silence_data = struct.pack("<" + "h" * num_samples, *([0] * num_samples))
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# Add a simple MP3 header (this is not a complete MP3 file, but might work for basic needs)
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mp3_header = b"\xff\xfb\x90\x04" # A very basic MP3 header
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return mp3_header + silence_data
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@staticmethod
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def _generate_audio_segment(
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client: openai.OpenAI,
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line: str,
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voice: Literal["alloy", "echo", "fable", "onyx", "nova", "shimmer"],
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index: int,
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) -> tuple[int, Union[bytes, str], Optional[bytes]]:
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try:
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response = client.audio.speech.create(model="tts-1", voice=voice, input=line.strip())
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audio = response.content
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silence_duration = random.uniform(2, 5)
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silence = PodcastAudioGeneratorTool._generate_silence(silence_duration)
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return index, audio, silence
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except Exception as e:
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return index, f"Error generating audio: {str(e)}", None
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def _invoke(
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self, user_id: str, tool_parameters: dict[str, Any]
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) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
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# Extract parameters
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script = tool_parameters.get("script", "")
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host1_voice = tool_parameters.get("host1_voice")
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host2_voice = tool_parameters.get("host2_voice")
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# Split the script into lines
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script_lines = [line for line in script.split("\n") if line.strip()]
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# Ensure voices are provided
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if not host1_voice or not host2_voice:
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raise ToolParameterValidationError("Host voices are required")
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# Get OpenAI API key from credentials
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if not self.runtime or not self.runtime.credentials:
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raise ToolProviderCredentialValidationError("Tool runtime or credentials are missing")
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api_key = self.runtime.credentials.get("api_key")
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if not api_key:
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raise ToolProviderCredentialValidationError("OpenAI API key is missing")
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# Initialize OpenAI client
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client = openai.OpenAI(api_key=api_key)
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# Create a thread pool
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max_workers = 5
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with concurrent.futures.ThreadPoolExecutor(max_workers=max_workers) as executor:
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futures = []
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for i, line in enumerate(script_lines):
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voice = host1_voice if i % 2 == 0 else host2_voice
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future = executor.submit(self._generate_audio_segment, client, line, voice, i)
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futures.append(future)
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# Collect results
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audio_segments: list[Any] = [None] * len(script_lines)
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for future in concurrent.futures.as_completed(futures):
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index, audio, silence = future.result()
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if isinstance(audio, str): # Error occurred
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return self.create_text_message(audio)
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audio_segments[index] = (audio, silence)
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# Combine audio segments in the correct order
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combined_audio = b""
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for i, (audio, silence) in enumerate(audio_segments):
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if audio:
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combined_audio += audio
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if i < len(audio_segments) - 1 and silence:
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combined_audio += silence
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# Create a blob message with the combined audio
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return [
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self.create_text_message("Audio generated successfully"),
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self.create_blob_message(
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blob=combined_audio,
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meta={"mime_type": "audio/mpeg"},
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save_as=self.VariableKey.AUDIO,
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),
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]
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identity:
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name: podcast_audio_generator
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author: Dify
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label:
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en_US: Podcast Audio Generator
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zh_Hans: 播客音频生成器
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description:
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human:
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en_US: Generate a podcast audio file from a script with two alternating voices using OpenAI's TTS service.
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zh_Hans: 使用 OpenAI 的 TTS 服务,从包含两个交替声音的脚本生成播客音频文件。
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llm: This tool converts a prepared podcast script into an audio file using OpenAI's Text-to-Speech service, with two specified voices for alternating hosts.
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parameters:
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- name: script
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type: string
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required: true
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label:
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en_US: Podcast Script
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zh_Hans: 播客脚本
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human_description:
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en_US: A string containing alternating lines for two hosts, separated by newline characters.
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zh_Hans: 包含两位主持人交替台词的字符串,每行用换行符分隔。
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llm_description: A string representing the script, with alternating lines for two hosts separated by newline characters.
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form: llm
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- name: host1_voice
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type: select
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required: true
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label:
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en_US: Host 1 Voice
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zh_Hans: 主持人1 音色
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human_description:
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en_US: The voice for the first host.
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zh_Hans: 第一位主持人的音色。
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llm_description: The voice identifier for the first host's voice.
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options:
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- label:
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en_US: Alloy
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zh_Hans: Alloy
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value: alloy
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- label:
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en_US: Echo
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zh_Hans: Echo
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value: echo
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- label:
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en_US: Fable
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zh_Hans: Fable
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value: fable
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- label:
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en_US: Onyx
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zh_Hans: Onyx
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value: onyx
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- label:
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en_US: Nova
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zh_Hans: Nova
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value: nova
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- label:
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en_US: Shimmer
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zh_Hans: Shimmer
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value: shimmer
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form: form
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- name: host2_voice
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type: select
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required: true
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label:
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en_US: Host 2 Voice
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zh_Hans: 主持人2 音色
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human_description:
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en_US: The voice for the second host.
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zh_Hans: 第二位主持人的音色。
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llm_description: The voice identifier for the second host's voice.
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options:
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- label:
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en_US: Alloy
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zh_Hans: Alloy
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value: alloy
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- label:
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en_US: Echo
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zh_Hans: Echo
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value: echo
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- label:
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en_US: Fable
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zh_Hans: Fable
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value: fable
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- label:
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en_US: Onyx
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zh_Hans: Onyx
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value: onyx
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- label:
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en_US: Nova
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zh_Hans: Nova
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value: nova
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- label:
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en_US: Shimmer
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zh_Hans: Shimmer
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value: shimmer
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form: form
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