MCP Server Whisper

"""Text-to-speech related Pydantic models.""" from pathlib import Path from typing import Optional from openai.types.audio.speech_model import SpeechModel from pydantic import BaseModel, Field from ..constants import TTSVoice class CreateClaudecastInputParams(BaseModel): """Params for text-to-speech using OpenAI's API.""" text_prompt: str = Field(description="Text to convert to speech") output_file_path: Optional[Path] = Field( default=None, description="Output file path (defaults to speech.mp3 in current directory)" ) model: SpeechModel = Field( default="gpt-4o-mini-tts", description="TTS model to use. gpt-4o-mini-tts is always preferred." ) voice: TTSVoice = Field( default="alloy", description="Voice for the TTS", ) instructions: str | None = Field( default=None, description="Optional instructions for the speech conversion, such as tonality, accent, style, etc.", ) speed: float = Field( default=1.0, gt=0.25, lt=4.0, description="Speed of the speech conversion. Use if the user prompts slow or fast speech.", ) model_config = {"arbitrary_types_allowed": True}