How to Install Mango on Manjaro

Mango is a powerful, open-source Machine Learning (ML) and Natural Language Processing (NLP) platform designed for developers and data scientists. It provides a user-friendly and powerful interface to create, manage and deploy machine learning models in no time. If you're a Linux user and have chosen Manjaro as your operating system, this tutorial will show you how to install Mango on Manjaro.

Prerequisites

Before starting the installation process of Mango, make sure that:

Step 1: Install Git

The first step is to install Git, which is a version control system used to pull the Mango repository from Github. Use the following command in the terminal to install Git:

sudo pacman -S git

Step 2: Clone the Mango Repository

Once Git is installed, the next step is to clone the Mango repository from Github. Open the terminal and run the following command to clone the Mango repository:

git clone https://github.com/hkalexling/mango.git

Step 3: Install Dependencies

Now, to make Mango work smoothly, some dependencies need to install. Run the following commands on the terminal:

sudo pacman -S python3-pip
sudo pacman -S python-pyqt5
sudo pacman -S python-pyqtgraph
sudo pacman -S python-pyqtwebengine
sudo pacman -S python-qtawesome
sudo pacman -S python-enchant
sudo pacman -S python-tensorflow
sudo pacman -S python-tensorflow-cuda
sudo pacman -S python-tensorflow-opt-cuda

Step 4: Install Requirements

In this step, navigate to the cloned directory and install the required Python packages:

cd mango
pip3 install -r requirements.txt

After running the above command, all the required packages will automatically install.

Step 5: Run Mango

Finally, all the dependencies and requirements are installed. Now you can run Mango by executing the following command:

python3 mango.py

Once the command runs successfully, the Mango application will start, and you're ready to use it.

Conclusion

Congratulations! You have successfully installed Mango on Manjaro using Github. Mango provides a powerful and user-friendly interface to manage and deploy machine learning models over time. However, it is essential to note that Mango is still under development and has many features to implement in the future, and you could contribute to Mango's development on their Github repository.

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