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Signed-off-by: Jael Gu <mengjia.gu@zilliz.com>
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Jael Gu 2 years ago
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  1. 80
      README.md
  2. 5
      __init__.py
  3. 51
      openai_qa.py

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README.md

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# openai
# ChatBot with OpenAI
*author: Jael, Yuchen*
<br />
## Description
A chat-bot operator returns answer in text given input text.
This operator is implemented with GPT models from [OpenAI](https://platform.openai.com/docs/guides/embeddings).
Please note you need an [OpenAI API key](https://platform.openai.com/account/api-keys) to access OpenAI.
<br />
## Code Example
Use the default model to answer the question "Who are you?".
*Write a pipeline with explicit inputs/outputs name specifications:*
```python
from towhee.dc2 import pipe, ops, DataCollection
p = (
pipe.input('question')
.map('question', 'answer',
ops.chatbot.openai(api_key=OPENAI_API_KEY))
.output('question', 'answer')
)
DataCollection(p('Who are you?')).show()
```
<br />
## Factory Constructor
Create the operator via the following factory method:
***chatbot.openai(model_name: str, api_key: str)***
**Parameters:**
***model_name***: *str*
The model name in string, defaults to 'text-davinci-003'. Supported model names:
- text-davinci-003
***api_key***: *str=None*
The OpenAI API key in string, defaults to None.
<br />
## Interface
The operator takes a piece of text in string as input.
It returns a text emabedding in numpy.ndarray.
***\_\_call\_\_(txt)***
**Parameters:**
***text***: *str*
​ The text in string.
**Returns**:
*answer: str*
​ The answer in string generated by model.
<br />
***supported_model_names()***
Get a list of supported model names.

5
__init__.py

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from .openai_qa import OpenaiQA
def openai(*args, **kwargs):
return OpenaiQA(*args, **kwargs)

51
openai_qa.py

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# Copyright 2021 Zilliz. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from openai import Embedding
from tenacity import retry, stop_after_attempt, wait_random_exponential
from towhee.operator.base import PyOperator
class OpenaiEmbeding(PyOperator):
def __init__(self, model_name='text-davinci-003', api_key=None):
self._engine = model_name
self._api_key = api_key
# @retry(wait=wait_random_exponential(min=1, max=20), stop=stop_after_attempt(6))
def _call(self, prompt):
prompt = prompt.replace("\n", " ")
response = openai.Completion.create(
api_key=self._api_key,
engine=self._engine,
prompt=prompt,
max_tokens=1024,
n=1,
stop=None,
temperature=0.7,
)
answer = response.choices[0].text.strip()
return answer
def __call__(self, prompt):
return self._call(prompt)
@staticmethod
def supported_model_names():
model_list = [
'text-davinci-003',
]
model_list.sort()
return model_list
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