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FEAT: NEW WORKFLOW ENGINE (#3160)

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Co-authored-by: Joel <iamjoel007@gmail.com>
Co-authored-by: Yeuoly <admin@srmxy.cn>
Co-authored-by: JzoNg <jzongcode@gmail.com>
Co-authored-by: StyleZhang <jasonapring2015@outlook.com>
Co-authored-by: jyong <jyong@dify.ai>
Co-authored-by: nite-knite <nkCoding@gmail.com>
Co-authored-by: jyong <718720800@qq.com>
This commit is contained in:
takatost
2024-04-08 18:51:46 +08:00
committed by GitHub
parent 2fb9850af5
commit 7753ba2d37
1161 changed files with 103836 additions and 10327 deletions
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18
api/controllers/service_api/app/audio.py
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@@ -20,7 +20,7 @@ from controllers.service_api.app.error import (
from controllers.service_api.wraps import FetchUserArg, WhereisUserArg, validate_app_token
from core.errors.error import ModelCurrentlyNotSupportError, ProviderTokenNotInitError, QuotaExceededError
from core.model_runtime.errors.invoke import InvokeError
from models.model import App, AppModelConfig, EndUser
from models.model import App, EndUser
from services.audio_service import AudioService
from services.errors.audio import (
AudioTooLargeServiceError,
@@ -33,18 +33,13 @@ from services.errors.audio import (
class AudioApi(Resource):
@validate_app_token(fetch_user_arg=FetchUserArg(fetch_from=WhereisUserArg.FORM))
def post(self, app_model: App, end_user: EndUser):
app_model_config: AppModelConfig = app_model.app_model_config
if not app_model_config.speech_to_text_dict['enabled']:
raise AppUnavailableError()
file = request.files['file']
try:
response = AudioService.transcript_asr(
tenant_id=app_model.tenant_id,
app_model=app_model,
file=file,
end_user=end_user.get_id()
end_user=end_user
)
return response
@@ -79,15 +74,16 @@ class TextApi(Resource):
def post(self, app_model: App, end_user: EndUser):
parser = reqparse.RequestParser()
parser.add_argument('text', type=str, required=True, nullable=False, location='json')
parser.add_argument('voice', type=str, location='json')
parser.add_argument('streaming', type=bool, required=False, nullable=False, location='json')
args = parser.parse_args()
try:
response = AudioService.transcript_tts(
tenant_id=app_model.tenant_id,
app_model=app_model,
text=args['text'],
end_user=end_user.get_id(),
voice=app_model.app_model_config.text_to_speech_dict.get('voice'),
end_user=end_user,
voice=args.get('voice'),
streaming=args['streaming']
)