Sumledge - Book AI

Sumledge is a simple application that allows scraping chapters content from .Epub, summarize the content, initialize a RAG to ask specific question about the book and even generate a podcast with Text-To-Speech (TTS) technologies.

Streamlit app

You can try the application directly from this Streamlit app

Description

The project uses Google APIs both for Vertex AI Gemini as well as for TTS models. They are virtually free and below more details about the current dependencies:

• Summarizer model: Gemini 1.5 Flash
• Embedding model for RAG: Hugging face BAAI/bge-small-en-v1.5
• Response generator for RAG: Gemini 1.5 Flash
• Text-To-Speech model: Google en-US-Neural2-D

It's possible to quickly change the models for the embeddings and for gemini, as well as the model for TTS to get a more natural voice (more expensive). At the same time, a TTS interface with ElevenLabs is implemented.

Book AI

Stremlit app: https://sumledge.streamlit.app

Example of Epub: https://drive.google.com/file/d/151oujA8zI3PVzSlNycD2iKyaTKhu0dsQ/view?usp=share_link

Table of Contents

• Installation
• Usage
• Contributing
• License
• Contact

Installation

Instructions on how to install and set up your project.

# Clone the repository
git clone https://github.com/faviasono/bookai.git

# Navigate to the project directory
cd bookai

# Install dependencies
pip install .

Usage

1. Set Up Gemini APIs

Create Gemini APIs in your Google account using AI Studio.

2. Enable Text-to-Speech

Enable the Text-to-Speech functionality using either Google Cloud Platform (GCP) or Eleven Labs APIs:

• If using GCP, download the JSON key for the Service Account (SA) authorized to call the Text-to-Speech endpoint.

3. Obtain Bionic Reader APIs

Generate the required Bionic Reader APIs from the RapidAPI platform.

4. Create a .env File

In the root directory of your project, create a .env file, copy the following configurations and replace with your information.

GEMINI_API_KEY="XXXXXXXXXX"
ELEVEN_API_KEY="XXXXXXXXXX"
BIONIC_API_KEY="XXXXXXXXXX"

[gcp_service_account]
type = "service_account"
project_id = "PROJECT_ID"
private_key_id = "XXXXXXXXXX"
private_key = "PRIVATE_KEY"
client_email = "CLIENT_EMAIL"
client_id = "XXX"
auth_uri = "https://accounts.google.com/o/oauth2/auth"
token_uri = "https://oauth2.googleapis.com/token"
auth_provider_x509_cert_url = "https://www.googleapis.com/oauth2/v1/certs"
client_x509_cert_url = "CLIENT_CERT_URL"

Run the application with the following:

streamlit run ui.py

Contributing

Guidelines for contributing to the project.

1. Fork the repository.
2. Create a new branch (git checkout -b feature-branch).
3. Make your changes.
4. Commit your changes (git commit -m 'Add some feature').
5. Push to the branch (git push origin feature-branch).
6. Open a pull request.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Contact

Andrea Favia

Github

TODO:

[ ] Dockerize

[ ] Deploy on GCP