A zero-boilerplate framework for building interactive ChatGPT widgets
Project description
Flick
A zero-boilerplate framework for building interactive ChatGPT widgets.
Features
- 🚀 Zero Configuration - Just create your widget and tool, everything else is automated
- 🔄 Auto-Discovery - Tools are automatically detected and registered
- 📦 Auto-Build - Mounting logic injected at build time
- ⚡ Hot Reload - Changes detected and rebuilt automatically
- 🎨 React + Vite - Modern frontend development experience
Installation
pip install flick
Quick Start
from flick import BaseWidget
from pydantic import BaseModel, ConfigDict
from typing import Dict, Any
class MyWidgetInput(BaseModel):
model_config = ConfigDict(populate_by_name=True)
class MyWidgetTool(BaseWidget):
identifier = "my_widget"
title = "My Widget"
input_schema = MyWidgetInput
async def execute(self, input_data: MyWidgetInput) -> Dict[str, Any]:
return {"message": "Hello from Flick!"}
Create your React component in widgets/my_widget/index.jsx:
import React from 'react';
import { useWidgetProps } from 'flick-react';
export default function MyWidget() {
const { message } = useWidgetProps();
return <h1>{message}</h1>;
}
That's it! No boilerplate files needed.
Documentation
Visit flick.dev/docs for full documentation.
License
MIT
Project details
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