This project was originally created for educational and testing purposes. I’m currently focused on other work, so it is no longer actively maintained. You are welcome to continue using or developing it as you wish. If you’d like help customizing it or have any questions, feel free to reach out through my website.
This project provides a Python application that generates videos from Arabic words and their meanings. Each video includes the word spoken using text-to-speech, displayed with its meaning, and accompanied by an audio pronunciation.
- Text-to-Speech: Converts Arabic text to speech using gTTS.
- Video Generation: Creates a video with Arabic text and audio.
- Support for Arabic Script: Utilizes
arabic_reshaperandpython-bidito properly display Arabic script.
Ensure you have Docker installed on your system to build and run this application using the provided Dockerfile. Alternatively, you can manually install the dependencies listed in requirements.txt.
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Clone the Repository
git clone [repository-url] cd [repository-directory] -
Build the Docker Image
docker build -t say-arabic . -
Run the Container
docker run say-arabic
Alternatively, if you prefer to run it locally without Docker:
-
Install the dependencies:
pip install -r requirements.txt -
Run the script:
python main.py