Guide GPT to help you efficiently complete various tasks, write GPT prompts programs, and automate GPT prompts, support web api
.env
api_key=sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
api_base=https://chatgpt-api.shn.hk/v1/
server_port=9981
cd bootstrap-gpt
pip install openai && pip install beautifulsoup4 && pip install jsonpath && pip install jinja2
python3 ./main.py
> python3 main.py serve
Bootstrap-GPT server v1.0.0
➜ Api: http://localhost:9981/v1/chat/completions
➜ Web: https://weekendproject.space/chat-gpt-online
api
post /v1/chat/completions
{"messages":[{"role":"user","content":"v2-hot"}],"model":"gpt-3.5-turbo"}
res
{"choices": [{"message": {"role": "assistant", "content": "hello"}]}
coordination chat-gpt-online Better eating effect
Note that you need to set an api-key (xxx is enough)
{
"author": "ruidong",
"date": "2023-04-17",
"version": "0.1",
"description": "code boot",
"boot": [{
"w": "Hello, this is a code template. Please select template 1. simple 2. demo",
"r":"r0",
"b": {
"1": 1,
"2": 2
}
},
{
"w": "Please enter the language type"
"r":"r1",
},
{
"w": "Please enter the requirement",
"r":"r2",
"p": "chat:Write a {{r2}} program for {{r1}}"
}
]
}
-
w: write supports template variables
-
r: read
-
b: Branch branch supports object field eq jump and Array sequential execution or no further execution
-
p: prompt supports template variable micro instructions for guiding chatgt [chat:] to search for plain text or crawler [spider:] output, which can expand more micro instruction prompt guidance
r2 r1 is a variable with a name of type and an index of r: reader w: writer p: prompts m: msg
Generate Rule Reference interpreter.py