mirror of
https://github.com/1Panel-dev/MaxKB.git
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63 lines
2.2 KiB
Python
63 lines
2.2 KiB
Python
import io
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from typing import Dict
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from openai import AzureOpenAI
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from common.config.tokenizer_manage_config import TokenizerManage
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from models_provider.base_model_provider import MaxKBBaseModel
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from models_provider.impl.base_stt import BaseSpeechToText
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def custom_get_token_ids(text: str):
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tokenizer = TokenizerManage.get_tokenizer()
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return tokenizer.encode(text)
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class AzureOpenAISpeechToText(MaxKBBaseModel, BaseSpeechToText):
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api_base: str
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api_key: str
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api_version: str
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model: str
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def __init__(self, **kwargs):
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super().__init__(**kwargs)
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self.api_key = kwargs.get('api_key')
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self.api_base = kwargs.get('api_base')
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self.api_version = kwargs.get('api_version')
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@staticmethod
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def new_instance(model_type, model_name, model_credential: Dict[str, object], **model_kwargs):
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optional_params = {}
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if 'max_tokens' in model_kwargs and model_kwargs['max_tokens'] is not None:
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optional_params['max_tokens'] = model_kwargs['max_tokens']
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if 'temperature' in model_kwargs and model_kwargs['temperature'] is not None:
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optional_params['temperature'] = model_kwargs['temperature']
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return AzureOpenAISpeechToText(
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model=model_name,
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api_base=model_credential.get('api_base'),
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api_key=model_credential.get('api_key'),
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api_version=model_credential.get('api_version'),
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**optional_params,
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)
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def check_auth(self):
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client = AzureOpenAI(
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azure_endpoint=self.api_base,
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api_key=self.api_key,
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api_version=self.api_version
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)
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response_list = client.models.with_raw_response.list()
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# print(response_list)
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def speech_to_text(self, audio_file):
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client = AzureOpenAI(
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azure_endpoint=self.api_base,
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api_key=self.api_key,
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api_version=self.api_version
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)
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audio_data = audio_file.read()
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buffer = io.BytesIO(audio_data)
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buffer.name = "file.mp3" # this is the important line
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res = client.audio.transcriptions.create(model=self.model, language="zh", file=buffer)
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return res.text
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