semvec/pypi-packages huggingface dataset:
yafem 1.1.2
Yet Another Finite Element Method (YAFEM) Package
License: MIT

This package have been developed at Aarhus University, Denmark

# Developers
- Giuseppe Abbiati
- Anders Malund Dammark Jensen
- Nikolaj Brauner Bjerge

# Supported python version
- python 3.9< (Windows)
- python 3.8< (Linux)


# License
This project is licensed under the MIT License - see the [LICENSE](./LICENSE) file for details.

This project also uses third-party libraries such as NumPy, SciPy, SymPy, JAX, and Matplotlib, which are under BSD and Apache 2.0 licenses. See the [NOTICE](./NOTICE) file for attribution.
unifiedaiservices 0.2.1
Unified Python package for AI models
License: MIT
Requires Python: >=3.11

# unifiedaiservices

**unifiedaiservices** is a Python package that brings together a wide range of AI tools and services in a single, easy-to-use interface.
It allows developers to integrate language models, transcription, image generation, voice synthesis, and more into their applications quickly and modularly.

---
## Key Features

* Integration with OpenAI models (including GPT, TTS, Transcribe, etc.)
* Audio and video transcription
* Image generation using advanced AI models
* Predefined voices and text-to-speech (TTS) support
* Modular architecture for easy extension and customization

---

## Requirements

* Python 3.11 or higher

---

## Installation

Install directly from PyPI:

```bash
pip install unifiedaiservices
```

---

## Basic Usage

```python
from unifiedaiservices.client import CreateClient
from unifiedaiservices.settings import AISettings, OpenAIProvider
import os
from dotenv import load_dotenv

# Load environment variables
load_dotenv()
API_KEY = os.getenv("OpenAI_API_KEY")

# Initialize client
client = CreateClient(api_key=API_KEY, provider="openai").get_client()


# Create OpenAIProvider instance
openai = OpenAIProvider(client)

# Load settings and print available models
AISettings(openai).print_models()

# Available actions
openai.print_models()
openai.create_data("model", "prompts")
openai.exists_model("model_id")
openai.get_models()
openai.get_model_info("model_id")
```

**Note:** You can also manually set the data:

```python
openai.data_prompt = {
    "model": "gpt-4o",
    "prompt": "Hello, world!",
    "max_tokens": 50
}
```

### Example Usage

```python
openai.generate_ai(openai.create_data(data))
```

---

## Contributing

Contributions are welcome! If you have suggestions, bug fixes, or new feature ideas, please reach out via email: **[a0534123987@gmail.com](mailto:a0534123987@gmail.com)**

---

## License

MIT License © 2025
This license allows free use, copying, modification, and distribution of the code.

---

## Notes

* This project is aimed at developers and AI enthusiasts who want to easily integrate multiple AI tools.
* It is recommended to use personal API keys for OpenAI or any other external services.
* For advanced usage, `unifiedaiservices` can be extended to suit your specific needs.