AI Tools Hub

A tool that provides various AI-powered tools on your localhost, using an OpenAI API key. Currently featuring Text-to-Speech conversion with translation capabilities, with plans to expand to more AI tools in the future, such as image generation, text summarization, and more.

Current Features

Text-to-Speech Converter

• Convert text to natural-sounding speech using OpenAI's TTS API.
• Support for multiple voices with different characteristics.
• Built-in translation to multiple languages before speech conversion.
• Real-time cost estimation and token usage tracking.
• Modern, responsive UI.
• History of conversions with playback capability.
• Support for long texts with automatic chunking.

Tool Preview

Getting Started

🐳 Running with Docker (Recommended)

1. Clone the Repository

Clone the repository to your local machine:

git clone /~https://github.com/wilsonneto-dev/ai-tools-hub.git
cd ai-tools-hub

2. Build the Docker Image

Build the Docker image for the application:

docker build -t ai-tools-hub .

3. Run the Docker Container

Run the container using the following command:

docker run -d -p 5000:5000 -e OPENAI_API_KEY=your_api_key_here --name ai-tools-hub ai-tools-hub

Replace your_api_key_here with your actual OpenAI API key.

4. Access the Application

Open your browser and navigate to: http://localhost:5000

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Prerequisites (Running without Docker)

• Python 3.8 or higher.
• OpenAI API key.
• Virtual environment (recommended).
• FFMPEG (for audio handling).

Installation (Without Docker)

1. Clone the repository

git clone /~https://github.com/wilsonneto-dev/ai-tools-hub.git
cd ai-tools-hub/src

2. Create and activate a virtual environment

# Windows
python -m venv .venv
.\.venv\Scripts\activate

# Linux/Mac
python -m venv .venv
source .venv/bin/activate

3. Install dependencies

pip install -r requirements.txt

4. Set up environment variables

# Windows
set OPENAI_API_KEY=your_api_key_here

# Linux/Mac
export OPENAI_API_KEY=your_api_key_here

5. Run the Application

Start the Flask development server:

python ./app.py

Navigate to http://localhost:5000 in your browser.

Cost Information

The application uses OpenAI's APIs with the following pricing:

• Text-to-Speech: $15.00 per 1 million characters.
• Translation (GPT-3.5 Turbo): $6.00 per 1 million tokens.

Costs are calculated and displayed in real-time for each conversion.

Project Structure

ai-tools-hub/
├── app.py                 # Main Flask application
├── lib/                   # Core functionality
│   ├── text_to_speech.py # Text-to-speech conversion logic
│   └── translations.py   # Translation handling
├── static/               # Static files (CSS, JS, audio files)
│   └── audio/            # Generated audio files
└── templates/            # HTML templates
    ├── base.html         # Base template
    ├── home.html         # Homepage
    └── text-to-speech.html # Text-to-speech interface

Roadmap

New Text-to-Speech Features

• Add support for file uploads (PDF, DOCX, TXT).
• Enable URL processing for article conversion.

Additional AI Tools

• Image generation tool.
• Text summarization.

Contributing

Contributions are welcome! Feel free to submit a Pull Request.

License

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

Acknowledgments

• OpenAI for their powerful APIs.
• Flask framework.
• Bootstrap for the UI components.
• All contributors and users of this project.

Support

If you encounter any issues or have questions, please file an issue on the GitHub repository.