https://github.com/wilsonneto-dev/ai-tools-hub
:rocket: A local, easy-to-use platform for leveraging AI-powered tools (Backed by Open AI APIs)
https://github.com/wilsonneto-dev/ai-tools-hub
ai artificial-intelligence flask openai tts
Last synced: about 1 year ago
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:rocket: A local, easy-to-use platform for leveraging AI-powered tools (Backed by Open AI APIs)
- Host: GitHub
- URL: https://github.com/wilsonneto-dev/ai-tools-hub
- Owner: wilsonneto-dev
- Created: 2025-01-12T17:15:03.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-03-05T13:11:32.000Z (over 1 year ago)
- Last Synced: 2025-04-14T23:09:59.936Z (about 1 year ago)
- Topics: ai, artificial-intelligence, flask, openai, tts
- Language: HTML
- Homepage:
- Size: 220 KB
- Stars: 13
- Watchers: 3
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# 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:
```bash
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:
```bash
docker build -t ai-tools-hub .
```
#### 3. Run the Docker Container
Run the container using the following command:
```bash
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](http://localhost:5000)
---
### 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
```bash
git clone https://github.com/wilsonneto-dev/ai-tools-hub.git
cd ai-tools-hub/src
```
#### 2. Create and activate a virtual environment
```bash
# Windows
python -m venv .venv
.\.venv\Scripts\activate
# Linux/Mac
python -m venv .venv
source .venv/bin/activate
```
#### 3. Install dependencies
```bash
pip install -r requirements.txt
```
#### 4. Set up environment variables
```bash
# 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:
```bash
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.