llm-recipes

Audiobook Creation Setup Guide

This guide will walk you through setting up your environment and necessary tools to create an audiobook using Python.

Prerequisites

Python installed on your system (preferably Python 3.8 or later)
Docker installed and running

Step-by-Step Setup

1. Install required system library

ffmpeg for audio management

sudo apt get update
sudo apt install ffmpeg 

2. Create a Virtual Environment and Install Libraries

Create a Virtual Environment:
```
python -m venv venv
```
Activate the Virtual Environment:
- On macOS/Linux:
```
source venv/bin/activate
```
- On Windows:
```
.\venv\Scripts\activate
```
Install Required Libraries:
```
pip install -r requirements.txt
```

For Pytorch Model Dev Users:

pip install -r pytorch-requirements.txt

3. Setup Ollama for Parsing pdf

Start Docker Compose:

docker compose -f docker/llm-compose.yml up -d

Pull Necessary LLM Models:

ollama pull deepseek-r1:7b
ollama pull qwen2.5

4. Setup Parlet-tts for Speech Generation

Pull Necessary TTS and Audio Models: To get started, download the following models using the Hugging Face CLI:

huggingface-cli download parler-tts/parler-tts-mini-v1.1
huggingface-cli download parler-tts/parler-tts-mini-multilingual-v1.1
huggingface-cli download facebook/audiogen-medium
huggingface-cli download facebook/audio-magnet-medium

Start TTS Server for Speech Creation

for RTX 40 series - Fast inference with torch.compile

docker compose -f docker/tts-server-fast.yml up -d

for GTX series

docker compose -f docker/tts-server.yml up -d

Start Audiocraft Server for Sound/Music Creation

docker compose -f docker/audiocraft-server.yml up -d

5. Additional Tips

Environment Variables: Ensure any required environment variables are set. You can use a .env file or set them directly in your terminal.
Dependencies: Ensure all dependencies listed in requirements.txt and pytorch-requirements.txt are correct and up-to-date.
Docker Check: Verify that Docker is running and the necessary containers are up and operational.

Troubleshooting

Docker Issues: Check Docker logs for any errors and ensure that the Docker daemon is running.

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