hunteraraujo 5ae17d009b Update TaskViewModel to Use TaskService and Task API Integration
This commit includes a significant overhaul of the TaskViewModel to use the newly created TaskService and integrate it with the task API. Specifically:

- Removed dependency on mock data for tasks.
- Added real API calls through the TaskService for task operations like creating and fetching tasks.
- Updated createTask to return the ID of the newly created task.
- Updated fetchTasks method to fetch tasks from the API and update the local list.
- Updated selectTask to handle selection based on string IDs.

These changes make the TaskViewModel ready for real-world usage and remove dependencies on mock data.
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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

Installation

  1. Clone the repo:
git clone https://github.com/yourusername/auto_gpt_flutter_client.git
  1. Navigate to the project directory:
cd auto_gpt_flutter_client
  1. Get Flutter packages:
flutter pub get
  1. Run the app:
flutter run

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.

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Python 18.3%
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