# Notebook: Techshila

This notebook automates various tasks using pre-trained models from the Hugging Face Transformers library and other related packages.

## Installation

To run this notebook, you need to install the required dependencies. You can do this by running the following commands in your terminal or command prompt:

```bash
pip install --upgrade pip
pip install git+https://github.com/huggingface/transformers.git accelerate datasets[audio]
pip install flash-attn gradio git+https://github.com/suno-ai/bark.git peft accelerate bitsandbytes safetensors sentencepiece ffmpeg-python

Additionally, you need to have GPU support for optimal performance, as some tasks involve deep learning models.

Usage

1. Open the notebook in a Jupyter environment.
2. Ensure you have access to a GPU if you want to leverage its power.
3. Run each cell sequentially to execute the code.
4. Follow the instructions provided in the notebook for each task.

Tasks Covered

1. Speech-to-Text Conversion
2. Text-to-Speech Synthesis
3. Generating Interview Questions

Additional Notes

• The notebook utilizes various Hugging Face models and libraries for different tasks.
• Ensure you have sufficient disk space available, especially if you're saving models.
• For optimal performance, consider running the notebook on a machine with GPU support.

Feel free to modify the notebook as needed for your specific use case or extend its functionality.