This project, generated with ChatGPT, contains logic to read a list of .wav files from disk and add them to a new .mlt (Shotcut) project file. The .wav files are generated using Text-to-Speech (TTS) technology.

The purpose of this project is to simplify the video creation process for tutorials related to the Prasso Framework.

Before using this project, ensure you have the following installed:

• TTS
• Python
• Shotcut

These tools are required to generate .wav files, populate the .mlt file, and create the training video.

1. Generate the Script: Use AI tools to generate the script for your video.

2. Create the .wav Files:

   • Write a script (scripts.sh) to convert the text of your video transcript into .wav files using TTS.
   • Run the script to generate the .wav files.

3. Create the .mlt File:

   • Run the provided Python script to create the .mlt file for Shotcut.

4. Open and Edit in Shotcut:

   • Open the generated .mlt file in Shotcut. The timeline will display each video frame, assuming you used the script to generate a .wav file for each frame.
   • Add your video scenes on a new timeline, matching each scene’s length to the length of the corresponding audio track.

By following these steps, you can streamline the process of creating instructional videos for the Prasso Framework.