Kokoro-FastAPI/api/src/routers/development.py

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from typing import List
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import numpy as np
import torch
from fastapi import APIRouter, Depends, HTTPException, Request, Response
from fastapi.responses import StreamingResponse
from loguru import logger
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from ..services.audio import AudioService, AudioNormalizer
from ..services.streaming_audio_writer import StreamingAudioWriter
from ..services.text_processing import phonemize, smart_split
from ..services.text_processing.vocabulary import tokenize
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from ..services.tts_service import TTSService
from ..structures.text_schemas import (
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GenerateFromPhonemesRequest,
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PhonemeRequest,
PhonemeResponse,
)
router = APIRouter(tags=["text processing"])
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async def get_tts_service() -> TTSService:
"""Dependency to get TTSService instance"""
return await TTSService.create() # Create service with properly initialized managers
@router.post("/dev/phonemize", response_model=PhonemeResponse)
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async def phonemize_text(request: PhonemeRequest) -> PhonemeResponse:
"""Convert text to phonemes and tokens
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Args:
request: Request containing text and language
tts_service: Injected TTSService instance
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Returns:
Phonemes and token IDs
"""
try:
if not request.text:
raise ValueError("Text cannot be empty")
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# Get phonemes
phonemes = phonemize(request.text, request.language)
if not phonemes:
raise ValueError("Failed to generate phonemes")
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# Get tokens (without adding start/end tokens to match process_text behavior)
tokens = tokenize(phonemes)
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return PhonemeResponse(phonemes=phonemes, tokens=tokens)
except ValueError as e:
logger.error(f"Error in phoneme generation: {str(e)}")
raise HTTPException(
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status_code=500, detail={"error": "Server error", "message": str(e)}
)
except Exception as e:
logger.error(f"Error in phoneme generation: {str(e)}")
raise HTTPException(
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status_code=500, detail={"error": "Server error", "message": str(e)}
)
@router.post("/dev/generate_from_phonemes")
async def generate_from_phonemes(
request: GenerateFromPhonemesRequest,
client_request: Request,
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tts_service: TTSService = Depends(get_tts_service),
) -> StreamingResponse:
"""Generate audio directly from phonemes with proper streaming"""
try:
# Basic validation
if not isinstance(request.phonemes, str):
raise ValueError("Phonemes must be a string")
if not request.phonemes:
raise ValueError("Phonemes cannot be empty")
# Create streaming audio writer and normalizer
writer = StreamingAudioWriter(format="wav", sample_rate=24000, channels=1)
normalizer = AudioNormalizer()
async def generate_chunks():
try:
has_data = False
# Process phonemes in chunks
async for chunk_text, _ in smart_split(request.phonemes):
# Check if client is still connected
is_disconnected = client_request.is_disconnected
if callable(is_disconnected):
is_disconnected = await is_disconnected()
if is_disconnected:
logger.info("Client disconnected, stopping audio generation")
break
chunk_audio, _ = await tts_service.generate_from_phonemes(
phonemes=chunk_text,
voice=request.voice,
speed=1.0
)
if chunk_audio is not None:
has_data = True
# Normalize audio before writing
normalized_audio = await normalizer.normalize(chunk_audio)
# Write chunk and yield bytes
chunk_bytes = writer.write_chunk(normalized_audio)
if chunk_bytes:
yield chunk_bytes
if not has_data:
raise ValueError("Failed to generate any audio data")
# Finalize and yield remaining bytes if we still have a connection
if not (callable(is_disconnected) and await is_disconnected()):
final_bytes = writer.write_chunk(finalize=True)
if final_bytes:
yield final_bytes
except Exception as e:
logger.error(f"Error in audio chunk generation: {str(e)}")
# Clean up writer on error
writer.write_chunk(finalize=True)
# Re-raise the original exception
raise
return StreamingResponse(
generate_chunks(),
media_type="audio/wav",
headers={
"Content-Disposition": "attachment; filename=speech.wav",
"X-Accel-Buffering": "no",
"Cache-Control": "no-cache",
"Transfer-Encoding": "chunked"
}
)
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except ValueError as e:
logger.error(f"Error generating audio: {str(e)}")
raise HTTPException(
status_code=400,
detail={
"error": "validation_error",
"message": str(e),
"type": "invalid_request_error"
}
)
except Exception as e:
logger.error(f"Error generating audio: {str(e)}")
raise HTTPException(
status_code=500,
detail={
"error": "processing_error",
"message": str(e),
"type": "server_error"
}
)