# LiteGPT
LiteGPT is a simple Python library designed for interacting with APIs, enabling text query submission and image generation in a chat format. It supports saving chat history and configuring an HTTP client with the option to use HTTP/2 for faster data transfer. The library is built with a simplified interface, making it easy to integrate with various chatbots or user applications working with generative AI.
## Features
- **Text Queries:** The `ask` method sends user queries to the API and processes the response. It includes support for message history, allowing continuous dialogue.
- **Image Generation:** The `image` method sends a text description to generate an image and returns the result in JSON format.
- **Message History Management:** The library supports working with message history through the external `History` class, making it easy to track the conversation and improve the user experience.
## Documentation
For detailed documentation on how to use LiteGPT, please refer to the official documentation:
[LiteGPT Documentation](https://red-3.gitbook.io/litegpt)
## Installation
You can install the `LiteGPT` library from PyPI using `pip`:
```bash
pip install litegpt
```
## Usage
**Text Queries**
The ask function allows you to send a query to the AI chat and receive a response while maintaining chat history.
```python
from litegpt import LiteGPT
# Initialize LiteGPT and send a query
bot = LiteGPT()
response = bot.ask("Your query here...")
print(response)
```
**Text Queries Async**
```python
from litegpt import AsyncLiteGPT
import asyncio
async def main():
# Initialize LiteGPT and send a query
bot = AsyncLiteGPT()
response = await bot.ask("Your query here...")
print(response)
asyncio.run(main())
```
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"description": "# LiteGPT\r\n\r\nLiteGPT is a simple Python library designed for interacting with APIs, enabling text query submission and image generation in a chat format. It supports saving chat history and configuring an HTTP client with the option to use HTTP/2 for faster data transfer. The library is built with a simplified interface, making it easy to integrate with various chatbots or user applications working with generative AI.\r\n\r\n## Features\r\n\r\n- **Text Queries:** The `ask` method sends user queries to the API and processes the response. It includes support for message history, allowing continuous dialogue.\r\n- **Image Generation:** The `image` method sends a text description to generate an image and returns the result in JSON format.\r\n- **Message History Management:** The library supports working with message history through the external `History` class, making it easy to track the conversation and improve the user experience.\r\n\r\n## Documentation\r\nFor detailed documentation on how to use LiteGPT, please refer to the official documentation:\r\n[LiteGPT Documentation](https://red-3.gitbook.io/litegpt)\r\n\r\n## Installation\r\n\r\nYou can install the `LiteGPT` library from PyPI using `pip`:\r\n\r\n```bash\r\npip install litegpt\r\n```\r\n## Usage\r\n\r\n**Text Queries**\r\n\r\nThe ask function allows you to send a query to the AI chat and receive a response while maintaining chat history.\r\n\r\n```python\r\nfrom litegpt import LiteGPT\r\n\r\n# Initialize LiteGPT and send a query\r\nbot = LiteGPT()\r\nresponse = bot.ask(\"Your query here...\")\r\nprint(response)\r\n```\r\n\r\n**Text Queries Async**\r\n\r\n```python\r\nfrom litegpt import AsyncLiteGPT\r\nimport asyncio\r\n\r\nasync def main():\r\n\t# Initialize LiteGPT and send a query\r\n\tbot = AsyncLiteGPT()\r\n\tresponse = await bot.ask(\"Your query here...\")\r\n\tprint(response)\r\nasyncio.run(main())\r\n```\r\n",
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