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73 lines
2.4 KiB
Python
73 lines
2.4 KiB
Python
def get_voice_for_provider(provider: str, speaker_id: int) -> dict | str:
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"""
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Get the appropriate voice configuration based on the TTS provider and speaker ID.
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Args:
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provider: The TTS provider (e.g., "openai/tts-1", "vertex_ai/test")
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speaker_id: The ID of the speaker (0-5)
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Returns:
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Voice configuration - string for OpenAI, dict for Vertex AI
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"""
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if provider == "local/kokoro":
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# Kokoro voice mapping - https://huggingface.co/hexgrad/Kokoro-82M/tree/main/voices
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kokoro_voices = {
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0: "am_adam", # Default/intro voice
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1: "af_bella", # First speaker
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}
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return kokoro_voices.get(speaker_id, "af_heart")
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# Extract provider type from the model string
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provider_type = (
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provider.split("/")[0].lower() if "/" in provider else provider.lower()
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)
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if provider_type == "openai":
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# OpenAI voice mapping - simple string values
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openai_voices = {
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0: "alloy", # Default/intro voice
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1: "echo", # First speaker
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2: "fable", # Second speaker
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3: "onyx", # Third speaker
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4: "nova", # Fourth speaker
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5: "shimmer", # Fifth speaker
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}
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return openai_voices.get(speaker_id, "alloy")
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elif provider_type == "vertex_ai":
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# Vertex AI voice mapping - dict with languageCode and name
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vertex_voices = {
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0: {
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"languageCode": "en-US",
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"name": "en-US-Studio-O",
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},
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1: {
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"languageCode": "en-US",
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"name": "en-US-Studio-M",
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},
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2: {
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"languageCode": "en-UK",
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"name": "en-UK-Studio-A",
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},
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3: {
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"languageCode": "en-UK",
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"name": "en-UK-Studio-B",
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},
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4: {
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"languageCode": "en-AU",
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"name": "en-AU-Studio-A",
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},
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5: {
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"languageCode": "en-AU",
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"name": "en-AU-Studio-B",
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},
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}
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return vertex_voices.get(speaker_id, vertex_voices[0])
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else:
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# Default fallback to OpenAI format for unknown providers
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default_voices = {
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0: {},
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1: {},
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}
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return default_voices.get(speaker_id, default_voices[0])
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