| 12345678910111213141516171819202122232425262728293031323334353637383940414243444546474849505152535455565758596061626364 |
- from typing import Dict
- from openai import OpenAI
- from common.config.tokenizer_manage_config import TokenizerManage
- from common.utils.common import _remove_empty_lines
- from models_provider.base_model_provider import MaxKBBaseModel
- from models_provider.impl.base_tts import BaseTextToSpeech
- def custom_get_token_ids(text: str):
- tokenizer = TokenizerManage.get_tokenizer()
- return tokenizer.encode(text)
- class SiliconCloudTextToSpeech(MaxKBBaseModel, BaseTextToSpeech):
- api_base: str
- api_key: str
- model: str
- params: dict
- def __init__(self, **kwargs):
- super().__init__(**kwargs)
- self.api_key = kwargs.get('api_key')
- self.api_base = kwargs.get('api_base')
- self.model = kwargs.get('model')
- self.params = kwargs.get('params')
- @staticmethod
- def new_instance(model_type, model_name, model_credential: Dict[str, object], **model_kwargs):
- optional_params = {'params': {'voice': 'alloy'}}
- for key, value in model_kwargs.items():
- if key not in ['model_id', 'use_local', 'streaming']:
- optional_params['params'][key] = value
- return SiliconCloudTextToSpeech(
- model=model_name,
- api_base=model_credential.get('api_base'),
- api_key=model_credential.get('api_key'),
- **optional_params,
- )
- def check_auth(self):
- client = OpenAI(
- base_url=self.api_base,
- api_key=self.api_key
- )
- response_list = client.models.with_raw_response.list()
- # print(response_list)
- def text_to_speech(self, text):
- client = OpenAI(
- base_url=self.api_base,
- api_key=self.api_key
- )
- text = _remove_empty_lines(text)
- with client.audio.speech.with_streaming_response.create(
- model=self.model,
- input=text,
- **self.params
- ) as response:
- return response.read()
- def is_cache_model(self):
- return False
|
