academic / crazy_functions /plugin_template /plugin_class_template.py
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import os, json, base64
from pydantic import BaseModel, Field
from textwrap import dedent
from typing import List
class ArgProperty(BaseModel): # PLUGIN_ARG_MENU
title: str = Field(description="The title", default="")
description: str = Field(description="The description", default="")
default_value: str = Field(description="The default value", default="")
type: str = Field(description="The type", default="") # currently we support ['string', 'dropdown']
options: List[str] = Field(default=[], description="List of options available for the argument") # only used when type is 'dropdown'
class GptAcademicPluginTemplate():
def __init__(self):
# please note that `execute` method may run in different threads,
# thus you should not store any state in the plugin instance,
# which may be accessed by multiple threads
pass
def define_arg_selection_menu(self):
"""
An example as below:
```
def define_arg_selection_menu(self):
gui_definition = {
"main_input":
ArgProperty(title="main input", description="description", default_value="default_value", type="string").model_dump_json(),
"advanced_arg":
ArgProperty(title="advanced arguments", description="description", default_value="default_value", type="string").model_dump_json(),
"additional_arg_01":
ArgProperty(title="additional", description="description", default_value="default_value", type="string").model_dump_json(),
}
return gui_definition
```
"""
raise NotImplementedError("You need to implement this method in your plugin class")
def get_js_code_for_generating_menu(self, btnName):
define_arg_selection = self.define_arg_selection_menu()
if len(define_arg_selection.keys()) > 8:
raise ValueError("You can only have up to 8 arguments in the define_arg_selection")
# if "main_input" not in define_arg_selection:
# raise ValueError("You must have a 'main_input' in the define_arg_selection")
DEFINE_ARG_INPUT_INTERFACE = json.dumps(define_arg_selection)
return base64.b64encode(DEFINE_ARG_INPUT_INTERFACE.encode('utf-8')).decode('utf-8')
def execute(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_request):
raise NotImplementedError("You need to implement this method in your plugin class")