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demo: add chatgpt client
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wang0618 committed Aug 2, 2023
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2 changes: 1 addition & 1 deletion .drone.yml
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trigger:
branch:
- dev-release
- dev
event:
- push

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191 changes: 191 additions & 0 deletions demos/chatgpt.py
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import json
import time
from typing import Dict, List

import openai

import pywebio_battery
from pywebio.input import *
from pywebio.output import *
from pywebio.pin import *
from pywebio.session import set_env, download


class ChatGPTStreamResponse:
def __init__(self, response):
self.response = response
self.yielded = []
self.finish_reason = None

def __next__(self):
# https://github.com/openai/openai-cookbook/blob/main/examples/How_to_stream_completions.ipynb
chunk = next(self.response)
self.finish_reason = chunk['choices'][0]['finish_reason']

# { "role": "assistant" } or { "content": "..."} or {}
delta = chunk['choices'][0]['delta']
content = delta.get('content', '')
if content:
self.yielded.append(content)
return content

def __iter__(self):
return self

def result(self):
return ''.join(self.yielded)


class ChatGPT:

def __init__(self, messages: List[Dict] = None, model: str = "gpt-3.5-turbo", api_key=None, **model_kwargs):
"""
Create a chatgpt client
:param messages: A list of messages comprising the conversation so far.
Each message is a dict with keys "role" and "content".
See: https://platform.openai.com/docs/api-reference/chat/create#chat/create-messages
:param model: The model to use.
:param api_key: The openai api key.
Get your API key from https://platform.openai.com/account/api-keys
:param model_kwargs: Other parameters to pass to model,
See https://platform.openai.com/docs/api-reference/chat
"""
self._messages = list(messages or [])
self.model_kwargs = dict(model=model, **model_kwargs)
if api_key:
self.model_kwargs['api_key'] = api_key

self.pending_stream_reply: ChatGPTStreamResponse = None
self.latest_nonstream_finish_reason = None

def _ask(self, message: str, stream=True, **model_kwargs):
if self.pending_stream_reply:
self._messages.append({"role": "assistant", "content": self.pending_stream_reply.result()})
self.pending_stream_reply = None

self._messages.append({"role": "user", "content": message})

resp = openai.ChatCompletion.create(
**self.model_kwargs,
**model_kwargs,
messages=self._messages,
stream=stream,
)
return resp

def ask(self, message: str, **model_kwargs) -> str:
"""
Send a message to chatgpt and get the reply in string
:param message: The message to send
:param model_kwargs: Other parameters to pass to openai.ChatCompletion.create()
:return: The reply from chatgpt
"""
resp = self._ask(message, stream=False, **model_kwargs)
reply = resp['choices'][0]
reply_content = reply['message']['content']
self._messages.append({"role": "assistant", "content": reply_content})
self.latest_nonstream_finish_reason = reply['finish_reason']

return reply_content

def ask_stream(self, message: str, **model_kwargs) -> ChatGPTStreamResponse:
"""
Send a message to chatgpt and get the reply in stream
:param message: The message to send
:param model_kwargs: Other parameters to pass to openai.ChatCompletion.create()
:return: A iterator that yields the reply from chatgpt.
The iterator will be exhausted when the reply is complete.
"""
resp = self._ask(message, stream=True, **model_kwargs)
self.pending_stream_reply = ChatGPTStreamResponse(resp)
return self.pending_stream_reply

def latest_finish_reason(self) -> str:
"""The finish reason for the latest reply of chatgpt.
The possible values for finish_reason are:
'stop': API returned complete model output
'length': Incomplete model output due to max_tokens parameter or token limit
'content_filter': Omitted content due to a flag from our content filters
'null': API response still in progress or incomplete
See: https://platform.openai.com/docs/guides/chat/response-format
"""
if self.pending_stream_reply:
return self.pending_stream_reply.finish_reason
return self.latest_nonstream_finish_reason

def messages(self) -> List[Dict]:
"""Get all messages of the conversation """
if self.pending_stream_reply:
self._messages.append({"role": "assistant", "content": self.pending_stream_reply.result()})
self.pending_stream_reply = None

return self._messages


def main():
"""ChatGPT client implemented with PyWebIO"""
set_env(input_panel_fixed=False, output_animation=False)
put_markdown("""
# ChatGPT
TIPS: refresh page to open a new chat.
""")

put_select('model', ['gpt-3.5-turbo', 'gpt-4'], label='Model')

openai_config = json.loads(pywebio_battery.get_localstorage('openai_config') or '{}')
if not openai_config:
openai_config = input_group('OpenAI API Config', [
input('API Key', name='api_key', type=TEXT, required=True,
help_text='Get your API key from https://platform.openai.com/account/api-keys'),
input('API Server', name='api_base', type=TEXT, value='https://api.openai.com', required=True),
])
pywebio_battery.set_localstorage('openai_config', json.dumps(openai_config))

api_base = openai_config['api_base'].removesuffix('/v1').strip('/') + '/v1'
bot = ChatGPT(api_key=openai_config['api_key'], api_base=api_base, model=pin.model)
while True:
form = input_group('', [
input(name='msg', placeholder='Ask ChatGPT'),
actions(name='cmd', buttons=['Send', 'Multi-line Input', 'Save Chat'])
])
if form['cmd'] == 'Multi-line Input':
form['msg'] = textarea(value=form['msg'])
elif form['cmd'] == 'Save Chat':
messages = [
msg['content'] if msg['role'] == 'user' else f"> {msg['content']}"
for msg in bot.messages()
]
download(f"chatgpt_{time.strftime('%Y%m%d%H%M%S')}.md",
'\n\n'.join(messages).encode('utf8'))
continue

user_msg = form['msg']
if not user_msg:
continue

put_info(put_text(user_msg, inline=True))

with use_scope(f'reply-{int(time.time())}'):
put_loading('grow', 'info')
reply_chunks = bot.ask_stream(user_msg)
clear() # clear loading
for chunk in reply_chunks:
put_text(chunk, inline=True)
clear() # clear above text
put_markdown(reply_chunks.result())

if bot.latest_finish_reason() == 'length':
put_error('Incomplete model output due to max_tokens parameter or token limit.')
elif bot.latest_finish_reason() == 'content_filter':
put_warning("Omitted content due to a flag from OpanAI's content filters.")


if __name__ == '__main__':
from pywebio import start_server

start_server(main, port=8085, debug=True, cdn=False)
2 changes: 2 additions & 0 deletions demos/index.py
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- [Input demo](./input_usage): Demonstrate the usage of PyWebIO input module
- [Output demo](./output_usage): Demonstrate the usage of PyWebIO output module
- [Theme preview](./theme): Demo page with various themes supported by PyWebIO
- [ChatGPT](./chatgpt): A ChatGPT client implemented with PyWebIO
### Data visualization demo
PyWebIO supports for data visualization with the third-party libraries.
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- [输入演示](./input_usage): 演示PyWebIO输入模块的用法
- [输出演示](./output_usage): 演示PyWebIO输出模块的用法
- [主题预览](./theme): 展示PyWebIO支持的各种主题
- [ChatGPT](./chatgpt): 使用PyWebIO编写的ChatGPT客户端
- 更多Demo请见[文档](https://pywebio.readthedocs.io)中示例代码的在线Demo
### 数据可视化demo
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3 changes: 2 additions & 1 deletion requirements.txt
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# demo running requirements
numpy
matplotlib
matplotlib
openai

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