# LLM Blocks 🤖
LLM Blocks is a Python library that provides a flexible and easy-to-use interface for interacting with OpenAI's GPT models. It provides a set of classes and methods to handle different types of interactions with the model, such as chat, template, and streamed responses.
## 📚 Table of Contents
- [Why Use LLM Blocks](#why-use-llm-blocks)
- [Repo Structure](#repo-structure)
- [Installation](#installation)
- [Usage](#usage)
- [Testing](#testing)
- [Contributing](#contributing)
## 🚀 Why Use LLM Blocks
LLM Blocks simplifies the process of interacting with OpenAI's GPT models. It provides a set of classes and methods that abstract away the complexity of the underlying API calls, allowing you to focus on what matters most - building your application. Whether you're building a chatbot, a code generator, or any other application that leverages AI, LLM Blocks can help you get there faster.
## 📂 Repo Structure
```
llm_blocks
├── blocks.py
├── block_factory.py
├── __init__.py
├── requirements.dev.txt
tests
└── test_blocks.py
```
## 💻 Installation
To install LLM Blocks, you can use pip:
```bash
pip install llm_blocks
```
## 🎯 Usage
Here's a simple example of how to use LLM Blocks:
```python
from llm_blocks import block_factory
# Create a block
block = block_factory.get('block')
# Execute the block with some content
response = block.execute("Hello, world!")
# or execute like a function
response = block("Hello, world!")
# Print the response
print(response)
```
## 🧪 Testing
To run the tests, navigate to the root directory of the project and run:
```bash
python -m unittest discover tests
```
## 🤝 Contributing
Contributions are welcome! Please read our [contributing guidelines](CONTRIBUTING.md) to get started.
## 📝 License
This project is licensed under the terms of the MIT license. See the [LICENSE](LICENSE.md) file for details.
## 📧 Contact
If you have any questions, feel free to reach out to us at [contact@llmblocks.com](mailto:contact@llmblocks.com).
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"description": "# LLM Blocks \ud83e\udd16\r\n\r\n\r\n\r\n\r\nLLM Blocks is a Python library that provides a flexible and easy-to-use interface for interacting with OpenAI's GPT models. It provides a set of classes and methods to handle different types of interactions with the model, such as chat, template, and streamed responses.\r\n\r\n## \ud83d\udcda Table of Contents\r\n- [Why Use LLM Blocks](#why-use-llm-blocks)\r\n- [Repo Structure](#repo-structure)\r\n- [Installation](#installation)\r\n- [Usage](#usage)\r\n- [Testing](#testing)\r\n- [Contributing](#contributing)\r\n\r\n## \ud83d\ude80 Why Use LLM Blocks\r\nLLM Blocks simplifies the process of interacting with OpenAI's GPT models. It provides a set of classes and methods that abstract away the complexity of the underlying API calls, allowing you to focus on what matters most - building your application. Whether you're building a chatbot, a code generator, or any other application that leverages AI, LLM Blocks can help you get there faster.\r\n\r\n## \ud83d\udcc2 Repo Structure\r\n```\r\nllm_blocks\r\n\u251c\u2500\u2500 blocks.py\r\n\u251c\u2500\u2500 block_factory.py\r\n\u251c\u2500\u2500 __init__.py\r\n\u251c\u2500\u2500 requirements.dev.txt\r\ntests\r\n\u2514\u2500\u2500 test_blocks.py\r\n```\r\n\r\n## \ud83d\udcbb Installation\r\nTo install LLM Blocks, you can use pip:\r\n```bash\r\npip install llm_blocks\r\n```\r\n\r\n## \ud83c\udfaf Usage\r\nHere's a simple example of how to use LLM Blocks:\r\n\r\n```python\r\nfrom llm_blocks import block_factory\r\n\r\n# Create a block\r\nblock = block_factory.get('block')\r\n\r\n# Execute the block with some content\r\nresponse = block.execute(\"Hello, world!\")\r\n# or execute like a function\r\nresponse = block(\"Hello, world!\")\r\n\r\n# Print the response\r\nprint(response)\r\n```\r\n\r\n## \ud83e\uddea Testing\r\nTo run the tests, navigate to the root directory of the project and run:\r\n\r\n```bash\r\npython -m unittest discover tests\r\n```\r\n\r\n## \ud83e\udd1d Contributing\r\nContributions are welcome! Please read our [contributing guidelines](CONTRIBUTING.md) to get started.\r\n\r\n## \ud83d\udcdd License\r\nThis project is licensed under the terms of the MIT license. See the [LICENSE](LICENSE.md) file for details.\r\n\r\n## \ud83d\udce7 Contact\r\nIf you have any questions, feel free to reach out to us at [contact@llmblocks.com](mailto:contact@llmblocks.com).\r\n",
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