hunteraraujo 0fb67241c5 Implement ChatView with Agent and User Message Tiles
This commit introduces the ChatView widget, a central component of the application that manages the chat interface. It's responsible for displaying both agent and user messages and includes the following features:

- Fetching chats for a specific task upon initialization.
- A reverse ListView to display chats with the most recent messages at the bottom.
- Dynamic rendering of UserMessageTile and AgentMessageTile widgets based on message type.
- Integration with the ChatInputField for inputting user messages.
- Placeholder logic for handling send action, to be implemented later.

This implementation lays the groundwork for a fully functional chat interface within the application, allowing for a seamless interaction between users and agents.
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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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