feat: Implement prepare-and-create endpoint for voice design creation and update related API and frontend logic

This commit is contained in:
2026-03-06 14:23:15 +08:00
parent 5e1e3e0668
commit ad90e5f96c
5 changed files with 119 additions and 16 deletions

View File

@@ -81,6 +81,95 @@ async def list_voice_designs(
total = crud.count_voice_designs(db, current_user.id, backend_type)
return VoiceDesignListResponse(designs=[to_voice_design_response(d) for d in designs], total=total)
@router.post("/prepare-and-create", response_model=VoiceDesignResponse, status_code=status.HTTP_201_CREATED)
@limiter.limit("10/minute")
async def prepare_and_create_voice_design(
request: Request,
data: VoiceDesignCreate,
current_user: User = Depends(get_current_user),
db: Session = Depends(get_db)
):
from core.tts_service import TTSServiceFactory
from core.cache_manager import VoiceCacheManager
from utils.audio import process_ref_audio, extract_audio_features
from core.config import settings
from db.crud import can_user_use_local_model
from datetime import datetime
if not can_user_use_local_model(current_user):
raise HTTPException(status_code=403, detail="Local model access required")
try:
backend = await TTSServiceFactory.get_backend("local")
ref_text = data.preview_text or data.instruct[:100]
ref_audio_bytes, _ = await backend.generate_voice_design({
"text": ref_text,
"language": "Auto",
"instruct": data.instruct,
"max_new_tokens": 2048,
"temperature": 0.3,
"top_k": 10,
"top_p": 0.5,
"repetition_penalty": 1.05
})
timestamp = datetime.utcnow().strftime("%Y%m%d_%H%M%S")
ref_filename = f"voice_design_new_{timestamp}.wav"
ref_audio_path = Path(settings.OUTPUT_DIR) / ref_filename
with open(ref_audio_path, 'wb') as f:
f.write(ref_audio_bytes)
ref_audio_array, ref_sr = process_ref_audio(ref_audio_bytes)
from core.model_manager import ModelManager
model_manager = await ModelManager.get_instance()
await model_manager.load_model("base")
_, tts = await model_manager.get_current_model()
if tts is None:
raise RuntimeError("Failed to load base model")
x_vector = tts.create_voice_clone_prompt(
ref_audio=(ref_audio_array, ref_sr),
ref_text=ref_text,
x_vector_only_mode=True
)
cache_manager = await VoiceCacheManager.get_instance()
ref_audio_hash = cache_manager.get_audio_hash(ref_audio_bytes)
features = extract_audio_features(ref_audio_array, ref_sr)
metadata = {
'duration': features['duration'],
'sample_rate': features['sample_rate'],
'ref_text': ref_text,
'x_vector_only_mode': True,
'instruct': data.instruct
}
cache_id = await cache_manager.set_cache(
current_user.id, ref_audio_hash, x_vector, metadata, db
)
design = crud.create_voice_design(
db=db,
user_id=current_user.id,
name=data.name,
instruct=data.instruct,
backend_type="local",
meta_data=data.meta_data,
preview_text=data.preview_text,
voice_cache_id=cache_id,
ref_audio_path=str(ref_audio_path),
ref_text=ref_text,
)
logger.info(f"Voice design created with clone prompt: design_id={design.id}, cache_id={cache_id}")
return to_voice_design_response(design)
except Exception as e:
logger.error(f"Failed to prepare and create voice design: {e}", exc_info=True)
raise HTTPException(status_code=500, detail="Failed to prepare voice design")
@router.post("/{design_id}/prepare-clone")
@limiter.limit("10/minute")
async def prepare_voice_clone_prompt(

View File

@@ -280,7 +280,10 @@ def create_voice_design(
backend_type: str,
aliyun_voice_id: Optional[str] = None,
meta_data: Optional[Dict[str, Any]] = None,
preview_text: Optional[str] = None
preview_text: Optional[str] = None,
voice_cache_id: Optional[int] = None,
ref_audio_path: Optional[str] = None,
ref_text: Optional[str] = None,
) -> VoiceDesign:
design = VoiceDesign(
user_id=user_id,
@@ -290,6 +293,9 @@ def create_voice_design(
aliyun_voice_id=aliyun_voice_id,
meta_data=meta_data,
preview_text=preview_text,
voice_cache_id=voice_cache_id,
ref_audio_path=ref_audio_path,
ref_text=ref_text,
created_at=datetime.utcnow(),
last_used=datetime.utcnow()
)

View File

@@ -145,28 +145,27 @@ const VoiceDesignForm = forwardRef<VoiceDesignFormHandle>((_props, ref) => {
return
}
const backend = preferences?.default_backend || 'local'
const text = watch('text')
const designData = {
name: saveDesignName,
instruct: instruct,
backend_type: backend,
preview_text: text || `${saveDesignName}的声音`
}
try {
const backend = preferences?.default_backend || 'local'
const text = watch('text')
const design = await voiceDesignApi.create({
name: saveDesignName,
instruct: instruct,
backend_type: backend,
preview_text: text || `${saveDesignName}的声音`
})
toast.success(t('designSaved'))
if (backend === 'local') {
setIsPreparing(true)
try {
await voiceDesignApi.prepareClone(design.id)
toast.success(t('clonePrepared'))
} catch (error) {
toast.error(t('clonePrepareFailed'))
await voiceDesignApi.prepareAndCreate(designData)
toast.success(t('designSaved'))
} finally {
setIsPreparing(false)
}
} else {
await voiceDesignApi.create(designData)
toast.success(t('designSaved'))
}
setShowSaveDialog(false)

View File

@@ -432,6 +432,14 @@ export const voiceDesignApi = {
return response.data
},
prepareAndCreate: async (data: VoiceDesignCreate): Promise<VoiceDesign> => {
const response = await apiClient.post<VoiceDesign>(
API_ENDPOINTS.VOICE_DESIGNS.PREPARE_AND_CREATE,
data
)
return response.data
},
prepareClone: async (id: number): Promise<{ message: string; cache_id: number; ref_text: string }> => {
const response = await apiClient.post<{ message: string; cache_id: number; ref_text: string }>(
API_ENDPOINTS.VOICE_DESIGNS.PREPARE_CLONE(id)

View File

@@ -30,6 +30,7 @@ export const API_ENDPOINTS = {
VOICE_DESIGNS: {
LIST: '/voice-designs',
CREATE: '/voice-designs',
PREPARE_AND_CREATE: '/voice-designs/prepare-and-create',
PREPARE_CLONE: (id: number) => `/voice-designs/${id}/prepare-clone`,
},
} as const