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84 lines
2.8 KiB
84 lines
2.8 KiB
# Copyright 2021 Zilliz. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import os
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from typing import List
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import zhipuai
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from towhee.operator.base import PyOperator
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class ZhipuaiChat(PyOperator):
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'''Wrapper of OpenAI Chat API'''
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def __init__(self,
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model_name: str = 'chatglm_std',
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api_key: str = None,
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**kwargs
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):
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zhipuai.api_key = api_key or os.getenv("ZHIPUAI_API_KEY")
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self._model = model_name
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self.kwargs = kwargs
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def __call__(self, messages: List[dict]):
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messages = self.parse_inputs(messages)
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self.stream = self.kwargs.pop('stream', False)
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if self.stream:
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response = zhipuai.model_api.sse_invoke(
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model=self._model,
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prompt=messages,
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**self.kwargs
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)
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return self.stream_output(response)
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else:
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response = zhipuai.model_api.invoke(
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model=self._model,
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prompt=messages,
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**self.kwargs
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)
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return response
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def parse_inputs(self, messages: List[dict]):
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assert isinstance(messages, list), \
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'Inputs must be a list of dictionaries with keys from ["question", "answer"].'
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new_messages = []
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for m in messages:
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if ('role' and 'content' in m) and (m['role'] in ['assistant', 'user']):
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new_messages.append(m)
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else:
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for k, v in m.items():
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if k == 'question':
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new_m = {'role': 'user', 'content': v}
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elif k == 'answer':
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new_m = {'role': 'assistant', 'content': v}
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else:
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raise KeyError('Invalid message key: only accept key value from ["question", "answer"].')
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new_messages.append(new_m)
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return new_messages
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@staticmethod
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def stream_output(response):
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for x in response.events():
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yield {'event': x.event, 'id': x.id, 'data': x.data, 'meta': x.meta}
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@staticmethod
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def supported_model_names():
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model_list = [
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'chatglm_130b',
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'chatglm_6b'
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]
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model_list.sort()
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return model_list
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