Files
AutoGPT/frontend
hunteraraujo 1d735caf40 Add TestSuite Model with Serialization and Deserialization Support
This commit introduces a new class, TestSuite, designed to encapsulate a collection of Task objects under a common timestamp. This will help in grouping tasks that belong to a particular test suite.

Key Features:
- Add a TestSuite class with fields for `timestamp` and a list of `tests` (Task objects).
- Implement `toJson` method for serializing TestSuite objects to JSON-compatible format.
- Implement `fromJson` factory method for deserializing JSON data back into a TestSuite object.

By providing serialization and deserialization support directly in the model, we facilitate easier storage and data exchange for test suites.
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AutoGPT Flutter Client

Description

This repository contains the Flutter client for the AutoGPT project. The application facilitates users in discussing various tasks with a single agent. The app is built to be cross-platform and runs on Web, Android, iOS, Windows, and Mac.

Features

  • List and manage multiple tasks.
  • Engage in chat conversations related to selected tasks.

Design document

The design document for this project provides a detailed outline of the architecture, components, and other important aspects of this application. Please note that this is a living, growing document and it is subject to change as the project evolves.

You can access the design document here.

Requirements

  • Flutter 3.x
  • Dart 3.x

Flutter comes with Dart, to install Flutter, follow the instructions here: https://docs.flutter.dev/get-started/install

Installation

  1. Clone the repo:
git clone https://github.com/Significant-Gravitas/Auto-GPT.git
  1. Navigate to the project directory:
cd Auto-GPT/frontend
  1. Get Flutter packages:
flutter pub get
  1. Run the app:
flutter run -d chrome --web-port 5000

Project Structure

  • lib/: Contains the main source code for the application.
  • models/: Data models that define the structure of the objects used in the app.
  • views/: The UI components of the application.
  • viewmodels/: The business logic and data handling for the views.
  • services/: Contains the service classes that handle communication with backend APIs and other external data sources. These services are used to fetch and update data that the app uses, and they are consumed by the ViewModels.
  • test/: Contains the test files for unit and widget tests.

Responsive Design

The app features a responsive design that adapts to different screen sizes and orientations. On larger screens (Web, Windows, Mac), views are displayed side by side horizontally. On smaller screens (Android, iOS), views are displayed in a tab bar controller layout.

License

This project is licensed under the MIT License - see the LICENSE file for details.