mirror of
https://github.com/guohuadeng/app-odoo.git
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#I9ROJ3 [app_chatgpt] V16.0 升级支持最新OpenAI official Python库
This commit is contained in:
Chill
@@ -10,7 +10,7 @@
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{
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'name': 'ChatGPT4, China Ali,AiGC Center.Ai服务中心，聚合全网Ai',
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'version': '16.24.04.19',
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'version': '16.24.05.23',
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'author': 'odooai.cn',
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'company': 'odooai.cn',
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'maintainer': 'odooai.cn',
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@@ -1,14 +1,15 @@
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# -*- coding: utf-8 -*-
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import openai.openai_object
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import requests, json
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import openai
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import requests
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import json
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import base64
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import logging
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from openai import OpenAI
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from openai import AzureOpenAI
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from odoo import api, fields, models, modules, tools, _
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from odoo.exceptions import UserError
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import logging
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_logger = logging.getLogger(__name__)
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@@ -23,19 +24,18 @@ class AiRobot(models.Model):
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# update ai_robot set ai_model=set_ai_model
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ai_model = fields.Char(string="AI Model", required=True, default='auto', help='Customize input')
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set_ai_model = fields.Selection(string="Quick Set Model", selection=[
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('gpt-3.5-turbo-0125', 'gpt-3.5-turbo-0125(Default and Latest)'),
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('gpt-3.5-turbo-0613', 'gpt-3.5-turbo-0613'),
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('gpt-3.5-turbo-16k-0613', 'gpt-3.5-turbo-16k-0613(Big text)'),
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('gpt-3.5-turbo-0125', 'GPT 3.5 Turbo(Default and Latest)'),
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('gpt-4o', 'GPT-4o'),
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('gpt-4-turbo', 'GPT-4 Turbo'),
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('gpt-4', 'Chatgpt 4'),
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('gpt-4-32k', 'Chatgpt 4 32k'),
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('gpt-3.5-turbo', 'Chatgpt 3.5 Turbo'),
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('gpt-3.5-turbo-0301', 'Chatgpt 3.5 Turbo on 20230301'),
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('text-davinci-003', 'Chatgpt 3 Davinci'),
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('code-davinci-002', 'Chatgpt 2 Code Optimized'),
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('text-davinci-002', 'Chatgpt 2 Davinci'),
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('dall-e2', 'Dall-E Image'),
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], default='gpt-3.5-turbo-0125',
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help="""
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GPT-4o: It is multimodal (accepting text or image inputs and outputting text), and it has the same high intelligence as GPT-4 Turbo but is much more efficient—it generates text 2x faster and is 50% cheaper.
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GPT-4: Can understand Image, generate natural language or code.
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GPT-3.5: A set of models that improve on GPT-3 and can understand as well as generate natural language or code
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DALL·E: A model that can generate and edit images given a natural language prompt
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@@ -172,11 +172,14 @@ GPT-3 A set of models that can understand and generate natural language
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res_post, usage, is_ai = self.get_ai_post(res, author_id, answer_id, param)
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return res
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def get_ai_post(self, res, author_id=False, answer_id=False, param={}):
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def get_ai_post(self, res, author_id=False, answer_id=False, param=None):
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# hook，高级版要替代
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if res and author_id and isinstance(res, openai.openai_object.OpenAIObject) or isinstance(res, list) or isinstance(res, dict):
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# 返回是个对象，那么就是ai
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# if isinstance(res, dict):
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if param is None:
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param = {}
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if not res or not author_id or (not isinstance(res, list) and not isinstance(res, dict)):
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return res, False, False
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usage = content = data = None
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try:
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if self.provider == 'openai':
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# openai 格式处理
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usage = res['usage']
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@@ -184,17 +187,38 @@ GPT-3 A set of models that can understand and generate natural language
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# _logger.warning('===========Ai响应:%s' % content)
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elif self.provider == 'azure':
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# azure 格式
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usage = json.loads(json.dumps(res['usage']))
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content = json.loads(json.dumps(res['choices'][0]['message']['content']))
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usage = res['usage']
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content = res['choices'][0]['message']['content']
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else:
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usage = False
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content = res
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data = content.replace(' .', '.').strip()
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return data, usage, True
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else:
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# 直接返回错误语句，那么就是非ai
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except Exception as e:
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_logger.error('==========app_chatgpt get_ai_post Error: %s' % e)
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return res, False, False
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# if res and author_id and isinstance(res, openai.openai_object.OpenAIObject) or isinstance(res, list) or isinstance(res, dict):
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# # 返回是个对象，那么就是ai
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# # if isinstance(res, dict):
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# if self.provider == 'openai':
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# # openai 格式处理
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# usage = res['usage']
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# content = res['choices'][0]['message']['content']
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# # _logger.warning('===========Ai响应:%s' % content)
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# elif self.provider == 'azure':
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# # azure 格式
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# usage = json.loads(json.dumps(res['usage']))
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# content = json.loads(json.dumps(res['choices'][0]['message']['content']))
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# else:
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# usage = False
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# content = res
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# data = content.replace(' .', '.').strip()
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# return data, usage, True
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# else:
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# # 直接返回错误语句，那么就是非ai
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# return res, False, False
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def get_ai_system(self, content=None):
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# 获取基础ai角色设定, role system
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sys_content = content or self.sys_content
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@@ -254,56 +278,7 @@ GPT-3 A set of models that can understand and generate natural language
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else:
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stop = ["Human:", "AI:"]
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# 以下处理 open ai
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if self.ai_model in ['gpt-3.5-turbo', 'gpt-3.5-turbo-0301']:
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# 基本与 azure 同，要处理 api_base
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openai.api_key = self.openapi_api_key
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openai.api_base = o_url.replace('/chat/completions', '')
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if isinstance(data, list):
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messages = data
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else:
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messages = [{"role": "user", "content": data}]
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# Ai角色设定，如果没设定则再处理
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if messages[0].get('role') != 'system':
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sys_content = self.get_ai_system(param.get('sys_content'))
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if sys_content:
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messages.insert(0, sys_content)
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# todo: 当前反向代理方式不通，要调整为 远程主机中接受请求，post到openai，再将结果返回给请求者
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# response = openai.ChatCompletion.create(
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# model=self.ai_model,
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# messages=messages,
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# # 返回的回答数量
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# n=1,
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# max_tokens=max_tokens,
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# temperature=temperature,
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# top_p=top_p,
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# frequency_penalty=frequency_penalty,
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# presence_penalty=presence_penalty,
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# stop=stop,
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# request_timeout=request_timeout,
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# )
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# if 'choices' in response:
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# return response
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# todo: 两种方式一样，要调整 v 服务器的二次处理 /root/toai.py
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pdata = {
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"model": self.ai_model,
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"messages": messages,
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"max_tokens": max_tokens,
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"temperature": temperature,
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"top_p": top_p,
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"frequency_penalty": frequency_penalty,
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"presence_penalty": presence_penalty,
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"stop": stop
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}
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response = requests.post(o_url, data=json.dumps(pdata), headers=headers, timeout=R_TIMEOUT)
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try:
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res = response.json()
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if 'choices' in res:
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return res
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except Exception as e:
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_logger.warning("Get Response Json failed: %s", e)
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else:
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_logger.warning('=====================Openai output data: %s' % response.json())
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elif self.ai_model == 'dall-e2':
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if self.ai_model == 'dall-e2':
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# todo: 处理 图像引擎，主要是返回参数到聊天中
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# image_url = response['data'][0]['url']
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# https://platform.openai.com/docs/guides/images/introduction
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@@ -324,29 +299,112 @@ GPT-3 A set of models that can understand and generate natural language
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"presence_penalty": 0.1,
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"stop": stop
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}
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response = openai.ChatCompletion.create(
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client = OpenAI(
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api_key=self.openapi_api_key,
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timeout=R_TIMEOUT
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)
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response = client.chat.completions.create(
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messages=data,
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model=self.ai_model,
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messages=data
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)
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# response = requests.post(o_url, data=json.dumps(pdata), headers=headers, timeout=R_TIMEOUT)
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if 'choices' in response:
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return response
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res = response.model_dump()
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if 'choices' in res:
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return res
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else:
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_logger.warning('=====================openai output data: %s' % response.json())
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return _("Response Timeout, please speak again.")
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# if self.ai_model in ['gpt-3.5-turbo', 'gpt-3.5-turbo-0301']:
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# # 基本与 azure 同，要处理 api_base
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# openai.api_key = self.openapi_api_key
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# openai.api_base = o_url.replace('/chat/completions', '')
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# if isinstance(data, list):
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# messages = data
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# else:
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# messages = [{"role": "user", "content": data}]
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# # Ai角色设定，如果没设定则再处理
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# if messages[0].get('role') != 'system':
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# sys_content = self.get_ai_system(param.get('sys_content'))
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# if sys_content:
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# messages.insert(0, sys_content)
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# # todo: 当前反向代理方式不通，要调整为 远程主机中接受请求，post到openai，再将结果返回给请求者
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# # response = openai.ChatCompletion.create(
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# # model=self.ai_model,
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# # messages=messages,
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# # # 返回的回答数量
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# # n=1,
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# # max_tokens=max_tokens,
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# # temperature=temperature,
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# # top_p=top_p,
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# # frequency_penalty=frequency_penalty,
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# # presence_penalty=presence_penalty,
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# # stop=stop,
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# # request_timeout=request_timeout,
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# # )
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# # if 'choices' in response:
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# # return response
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# # todo: 两种方式一样，要调整 v 服务器的二次处理 /root/toai.py
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# pdata = {
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# "model": self.ai_model,
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# "messages": messages,
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# "max_tokens": max_tokens,
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# "temperature": temperature,
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# "top_p": top_p,
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# "frequency_penalty": frequency_penalty,
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# "presence_penalty": presence_penalty,
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# "stop": stop
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# }
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# response = requests.post(o_url, data=json.dumps(pdata), headers=headers, timeout=R_TIMEOUT)
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# try:
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# res = response.json()
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# if 'choices' in res:
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# return res
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# except Exception as e:
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# _logger.warning("Get Response Json failed: %s", e)
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# else:
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# _logger.warning('=====================Openai output data: %s' % response.json())
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# elif self.ai_model == 'dall-e2':
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# # todo: 处理 图像引擎，主要是返回参数到聊天中
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# # image_url = response['data'][0]['url']
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# # https://platform.openai.com/docs/guides/images/introduction
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# pdata = {
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# "prompt": data,
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# "n": 3,
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# "size": "1024x1024",
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# }
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# return '建设中'
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# else:
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# pdata = {
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# "model": self.ai_model,
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# "prompt": data,
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# "temperature": 1,
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# "max_tokens": max_tokens,
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# "top_p": 0.6,
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# "frequency_penalty": 0.1,
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# "presence_penalty": 0.1,
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# "stop": stop
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# }
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# response = openai.ChatCompletion.create(
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# model=self.ai_model,
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# messages=data
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# )
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# # response = requests.post(o_url, data=json.dumps(pdata), headers=headers, timeout=R_TIMEOUT)
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# if 'choices' in response:
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# return response
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# else:
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# _logger.warning('=====================openai output data: %s' % response.json())
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# return _("Response Timeout, please speak again.")
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def get_azure(self, data, author_id, answer_id, param={}):
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self.ensure_one()
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# only for azure
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openai.api_type = self.provider
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if not self.endpoint:
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raise UserError(_("Please Set your AI robot's endpoint first."))
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openai.api_base = self.endpoint
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if not self.api_version:
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raise UserError(_("Please Set your AI robot's API Version first."))
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openai.api_version = self.api_version
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openai.api_key = self.openapi_api_key
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if self.stop:
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stop = self.stop.split(',')
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else:
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@@ -370,8 +428,15 @@ GPT-3 A set of models that can understand and generate natural language
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if sys_content:
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messages.insert(0, sys_content)
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# 暂时不变
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response = openai.ChatCompletion.create(
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engine=self.engine,
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client = AzureOpenAI(
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api_version=self.api_version,
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azure_endpoint=self.endpoint,
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api_key=self.openapi_api_key,
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timeout=request_timeout
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)
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response = client.chat.completions.create(
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model=self.engine,
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messages=messages,
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# 返回的回答数量
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n=1,
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@@ -381,10 +446,10 @@ GPT-3 A set of models that can understand and generate natural language
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frequency_penalty=frequency_penalty,
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presence_penalty=presence_penalty,
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stop=None,
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request_timeout=request_timeout,
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)
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if 'choices' in response:
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return response
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res = response.model_dump()
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if 'choices' in res:
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return res
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else:
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_logger.warning('=====================azure output data: %s' % response.json())
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return _("Response Timeout, please speak again.")
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@@ -2,16 +2,15 @@
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<div class="oe_row oe_spaced" >
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<div class="row">
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<h2 class="oe_slogan"> Latest ChatGPT AI Center. GPT 3.5, Ali Ai, Baidu Ai, Multi Robot Support. Chat and Training </h2>
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<h3 class="oe_slogan"> Support chatgpt 4 32k. 3.5 turbo, text-davinci, Integration All ChatGpt Api. </h3>
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<h3 class="oe_slogan"> Support GPT-4o, chatgpt 4 32k. 3.5 turbo, text-davinci, Integration All ChatGpt Api. </h3>
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<div class="oe_row">
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<h3>Latest update: v16.23.09.27</h3>
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<h3>Latest update: v16.24.05.23</h3>
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<div class="row">
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<div class="row">
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Add Alibaba Qwen support(search 'app_ai_ali'), update chatgpt api
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</div>
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<img class="oe_demo oe_screenshot img img-fluid" src="demo02.jpg">
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</div>
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<h3>Latest update: v16.23.03.16</h3>
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<div class="row">
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<img class="oe_demo oe_screenshot img img-fluid" style="max-height: 100%;" src="banner.png">
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</div>
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@@ -111,7 +110,7 @@
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<div class="oe_demo oe_screenshot img img-fluid">
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<img src="demo1.jpg"/>
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</div>
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<p> You can set the Temperature higer for more creative answer.</p>
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<p> You can set the Temperature higher for more creative answer.</p>
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<div class="oe_demo oe_screenshot img img-fluid">
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<img src="demo2.jpg"/>
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</div>
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@@ -126,7 +125,7 @@
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<div class="oe_demo oe_screenshot img img-fluid">
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<img src="demo2.jpg"/>
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</div>
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<p> You can set the Temperature higer for more creative answer.</p>
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<p> You can set the Temperature higher for more creative answer.</p>
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<div class="oe_demo oe_screenshot img img-fluid">
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<img src="demo3.jpg"/>
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</div>
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@@ -226,6 +225,18 @@
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<h2 class="text-center bg-info text-white pt16 pb16">- How to setup and use -</h2>
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</section>
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<section class="oe_container container">
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<div class="oe_row oe_spaced">
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<h4 class="pt16">
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To install this addon, you need to install official OpenAI Python dependencies.
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</h4>
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<code>
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pip install openai
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</code>
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or
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<code>
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pip install openai --upgrade
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</code>
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</div>
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<div class="oe_row oe_spaced">
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<h4 class="pt16">
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1. Get ChatGPT Api key from openai or azure.
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@@ -261,13 +272,13 @@
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<img src="setup5.jpg">
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</div>
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</div>
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<h5 class="pt16">6. You can setup the Ai system context and Character.</h5>
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<h4 class="pt16">6. You can setup the Ai system context and Character.</h4>
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<div class="row">
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<div class="oe_demo oe_screenshot img img-fluid">
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<img src="setup6.jpg">
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</div>
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</div>
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<h5 class="pt16">7. You can setup Lots of channel for subjects and projects..</h5>
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<h4 class="pt16">7. You can setup Lots of channel for subjects and projects..</h4>
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<div class="row">
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<div class="oe_demo oe_screenshot img img-fluid">
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<img src="setup7.jpg">
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Block a user