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from pydantic import BaseModel, Field, ConfigDict
from typing import Optional
# ==============================
# SPEECH TO TEXT RESPONSE
# ==============================
class STTResponse(BaseModel):
model_config = ConfigDict(
json_schema_extra={
"example": {
"text": "hello how are you",
"model_name": "openai/whisper-large-v3",
"language": "en",
"duration_seconds": 3.2
}
}
)
text: str = Field(..., description="Transcribed text from the input audio")
model_name: str = Field(..., description="STT model used for inference")
language: Optional[str] = Field(None, description="Detected language")
duration_seconds: Optional[float] = Field(
None,
description="Approximate audio duration in seconds"
)
# ==============================
# TEXT TO SPEECH REQUEST / RESPONSE
# ==============================
class TTSRequest(BaseModel):
model_config = ConfigDict(
json_schema_extra={"example": {"text": "Hello, welcome to our AI system."}}
)
text: str = Field(..., min_length=1, max_length=500, description="Text to convert to speech")
class TTSResponse(BaseModel):
model_config = ConfigDict(
json_schema_extra={
"example": {
"message": "Audio generated successfully",
"audio_format": "wav",
"length_seconds": 2.5,
"model_name": "suno/bark"
}
}
)
message: str
audio_format: str
length_seconds: Optional[float] = None
model_name: str
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