ttsAI

TTS for AI using LLMs endpoints.

How to Use

To set up and use this project run python version 3.10.14 and follow the steps below:

1. Create an .env file

Create a .env file in the project root directory to store Open AI Keys and endpoints. Add the following variables to it:

ELEVEN_LABS_SECRET_KEY=your_api_key_here
OPEN_AI_SECRET_KEY=your_api_key_here

2. Create a Configuration File

Create a config.yaml file to maintain path settings. Include the following configurations

recording_path: 'your_data_path_here'
output_path: 'your_output_path_here'
eleven_labs_voice_id: 'voice_id_here'
eleven_labs_model: 'model_name_here'
eleven_labs_api_key: ${ELEVEN_LABS_SECRET_KEY}
openai_model: 'model_name_here'
openai_api_key: ${OPEN_AI_SECRET_KEY}

3. Install Required Libraries

Install the necessary Python libraries using conda. Run conda env create -f environment.yml

4. Run the Classification Script

Execute the python script main.py.