dify/api/services/audio_service.py
takatost d069c668f8
Model Runtime (#1858)
Co-authored-by: StyleZhang <jasonapring2015@outlook.com>
Co-authored-by: Garfield Dai <dai.hai@foxmail.com>
Co-authored-by: chenhe <guchenhe@gmail.com>
Co-authored-by: jyong <jyong@dify.ai>
Co-authored-by: Joel <iamjoel007@gmail.com>
Co-authored-by: Yeuoly <admin@srmxy.cn>
2024-01-02 23:42:00 +08:00

40 lines
1.3 KiB
Python

import io
from werkzeug.datastructures import FileStorage
from core.model_manager import ModelManager
from core.model_runtime.entities.model_entities import ModelType
from services.errors.audio import NoAudioUploadedServiceError, AudioTooLargeServiceError, UnsupportedAudioTypeServiceError, ProviderNotSupportSpeechToTextServiceError
FILE_SIZE = 15
FILE_SIZE_LIMIT = FILE_SIZE * 1024 * 1024
ALLOWED_EXTENSIONS = ['mp3', 'mp4', 'mpeg', 'mpga', 'm4a', 'wav', 'webm']
class AudioService:
@classmethod
def transcript(cls, tenant_id: str, file: FileStorage):
if file is None:
raise NoAudioUploadedServiceError()
extension = file.mimetype
if extension not in [f'audio/{ext}' for ext in ALLOWED_EXTENSIONS]:
raise UnsupportedAudioTypeServiceError()
file_content = file.read()
file_size = len(file_content)
if file_size > FILE_SIZE_LIMIT:
message = f"Audio size larger than {FILE_SIZE} mb"
raise AudioTooLargeServiceError(message)
model_manager = ModelManager()
model_instance = model_manager.get_default_model_instance(
tenant_id=tenant_id,
model_type=ModelType.SPEECH2TEXT
)
buffer = io.BytesIO(file_content)
buffer.name = 'temp.mp3'
return {"text": model_instance.invoke_speech2text(buffer)}