DeepChat: AI Conversation Client with Support for Concurrent Sessions with Multiple Chats

General Introduction

DeepChat is an open source intelligent assistant project developed by the ThinkInAIXYZ team on GitHub. It aims to connect users with the digital world through powerful AI technology, providing an efficient and natural chat experience. It supports multiple platforms such as Windows, macOS, Linux, etc. With the concurrent function of multiple chats, users can freely switch between different sessions without waiting for replies to be generated.DeepChat also provides complete Markdown rendering, which is especially suitable for displaying code and formatted text, and is equipped with a detailed user guide, so that users can get started quickly without complex learning. DeepChat Whether it's for personal use or for developers integrating AI features, DeepChat is designed to be simple and practical, making it a useful companion for users and their work.

Function List

• Multiple concurrent chats: Supports multiple chat sessions at the same time, switching without waiting and improving efficiency.
• cross-platform compatibilityThe program runs on Windows, macOS, and Linux systems and reaches a wide range of users.
• Markdown Rendering: Full support for Markdown formatting, code blocks and text layout is clear and beautiful.
• Quick Start Guide: A concise tutorial page is provided so that zero-basic users can use it immediately.
• open source project: The code is hosted on GitHub and developers are free to download, modify and contribute.
• AI-Driven Conversations: Integrates powerful AI technology to provide a smart, natural chat experience.

Using Help

Installation process

DeepChat is a GitHub-based open source project, you need to manually download and configure the environment before use. Here are the detailed installation steps:

1. Preparing the environment
   • Make sure you have Git (for cloning code) and Python (3.8 or higher recommended) installed on your computer.
   • If you don't have Git, visit the Git website to download and install it; Python can be obtained from the Python website.
2. Project Clone to Local
   • Open a terminal (CMD or PowerShell for Windows, Terminal for macOS/Linux).
   • Enter the following command to clone the DeepChat project locally:

     git clone https://github.com/ThinkInAIXYZ/deepchat.git
     

   • After cloning is complete, use the following command to enter the project directory:

     cd deepchat
     

3. Installation of dependencies
   • The project relies on the Python environment to run, so you need to install the relevant libraries. Enter the following command to install them:

     pip install -r requirements.txt
     

   • If you encounter problems with permissions, try:

     pip install -r requirements.txt --user
     

   • Wait a few minutes and rely on the installation to complete before moving on to the next step.
4. Run DeepChat
   • Start the program by entering the following command in the terminal:

     python main.py
     

   • If all is well, you will see the program interface or prompt indicating that DeepChat has run successfully.
5. Optional Configurations
   • If you need to adjust the AI model or customize the functionality, refer to the README.md file, modify the configuration file (if any) according to the instructions.

How to use the main features

Multiple concurrent chats

• procedure::
  1. After launching DeepChat, go to the main screen.
  2. Click on the "New Session" button (the name of the button depends on the actual interface) to create a new chat window.
  3. After entering a question or content in the current session, you don't need to wait for the reply to be completed, just click on the session list on the left to switch to another session.
  4. When you return to the original session, the AI has generated a complete response, which is extremely efficient.
• Usage Scenarios: Ideal for users who need to work on multiple tasks at the same time, such as consulting on technical issues while recording inspiration.

Markdown Rendering

• procedure::
  1. Type Markdown-formatted text in the chat input box, for example:

     ### Title
     - List Item 1
     - List item 2
     

  2. Once sent, DeepChat automatically renders the text as formatted content with bolded headlines and clearly aligned lists.
  3. If you enter a code, it can be wrapped in three backquotes, for example:

     print("Hello, DeepChat!")
     

     When sent, the code block is highlighted for easy reading and copying.

• Usage Scenarios: Useful for programmers sharing code snippets, or when you need to organize and format your notes.

Cross-platform operation

• Operating Points::
  • No additional configuration is required to run DeepChat on different operating systems, just complete the installation steps above.
  • Windows users may need to ensure that the terminal supports UTF-8 encoding (CMD may be garbled by default, PowerShell is recommended).
  • MacOS and Linux users can use Terminal directly for good compatibility.
• caveat: Ensure that your network is up and running, some AI features may require an online connection.

Featured Functions Operation Procedure

Quick Start Guide

• Access Guide::
  1. After launching DeepChat, the main interface will usually show a "Help" or "Guide" portal (if not, check the GitHub page README).
  2. After clicking enter, the page will show detailed operation instructions, including how to input, switching sessions, adjusting settings and so on.
  3. We recommend that new users take 5 minutes to read it and familiarize themselves with the basics before becoming comfortable with it.
• practical skill::
  • If the interface doesn't show the guide, you can visit the GitHub project address directly to view the README.md maybe README.zh.md Documentation (Chinese version).

open source contribution

• Participation::
  1. If you're a developer and want to improve DeepChat, fork the project to your own GitHub account.
  2. After modifying the code locally, submit a Pull Request (PR) and wait for the ThinkInAIXYZ team to review it.
  3. For specific contribution guidelines, see the GitHub page for the CONTRIBUTING.md(if available) or contact the team directly.
• mileage: Participating in open source not only improves your skills, it also makes DeepChat more relevant to your needs.

caveat

• network requirement: Some features may rely on online AI services to ensure network stability.
• Update Maintenance: Check the GitHub page regularly for the latest version or fix patches.
• Question Feedback: If you encounter a bug, submit an Issue on GitHub and the team will usually respond in a timely manner.

With these steps and instructions, you can easily install and use DeepChat to enjoy an efficient and smart chatting experience!