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#
# Copyright 2019 The InfiniFlow Authors. 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 abc import ABC
from openai import OpenAI
import os
class Base(ABC):
def chat(self, system, history, gen_conf):
raise NotImplementedError("Please implement encode method!")
class GptTurbo(Base):
def __init__(self):
self.client = OpenAI(api_key=os.environ["OPENAI_API_KEY"])
def chat(self, system, history, gen_conf):
history.insert(0, {"role": "system", "content": system})
res = self.client.chat.completions.create(
model="gpt-3.5-turbo",
messages=history,
**gen_conf)
return res.choices[0].message.content.strip()
class QWenChat(Base):
def chat(self, system, history, gen_conf):
from http import HTTPStatus
from dashscope import Generation
# export DASHSCOPE_API_KEY=YOUR_DASHSCOPE_API_KEY
history.insert(0, {"role": "system", "content": system})
response = Generation.call(
Generation.Models.qwen_turbo,
messages=history,
result_format='message'
)
if response.status_code == HTTPStatus.OK:
return response.output.choices[0]['message']['content']
return response.message
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