A comprehensive Python tool that harnesses the power of TikTok's TTS (Text-to-Speech) API to produce audio files derived from provided text in a .txt file format. Following the text-to-audio conversion, the tool seamlessly stitches all the generated audio segments into a single .mp3 audio file.

• Sources text directly from a designated .txt file.
• Intelligently segments the text to align with the character constraints of the TTS API.
• Leverages TikTok's TTS API to procure audio segments for each split section of text.
• Seamlessly amalgamates all these audio segments into one unified .mp3 file.
• Enhances user experience by offering a real-time progress bar to track the conversion status.

1. Clone the repository:

git clone /~https://github.com/DylanMcBean/TikTokTextToSpeech.git
cd TikTokTextToSpeech

2. Set up a virtual environment (optional but highly recommended):

python3 -m venv venv
source venv/bin/activate  # On Windows, use: venv\Scripts\activate

3. Install necessary dependencies:

pip install -r requirements.txt

1. Prepare a .txt file with the text content you're keen to transform into speech.

2. Execute the script, supplying the path of your .txt file:

python main.py path/to/your/textfile.txt

Optionally, you can specify the output filename:

python main.py path/to/your/textfile.txt desired_output_filename.mp3

3. Post execution, locate the resulting audio file (defaulted to processed_audio.mp3 if no name was provided) in the main directory.

Upon execution, the script prompts the user to select from a list of diverse voice options, ranging from regional accents to iconic fictional characters!

1. For the tool's seamless operation, ensure ffmpeg is installed. Additionally, ffprobe should either reside in the same directory as the script or be accessible from the PATH.