mnnlibr 3.0.0

Module for using AI

MNN AI

!!! Currently the api can only be tested via @mnnaibot

This repository contains an example of how to use the library to interact with the MNN API for image generation and text chat functionalities.

Prerequisites

• Python 3.x
• MNNLib library installed. You can install it using pip:

pip install mnnai

Usage

Image Generation The following code demonstrates how to generate an image based on a prompt using the MNN API.

from mnnai import MNN

client = MNN(
    key='MNN API KEY',
    id='MNN ID',
    # max_retries=2, 
    # timeout=60
)

response = client.Image_create(
    prompt="Draw a cute red panda",
    model='sdxl'
)

image_url = response['data'][0]['url']
print(image_url)

Text Chat

The following code demonstrates how to create a chat session with the MNN API, both with streaming and without streaming.

Streaming Chat

import asyncio

stream = client.async_chat_create(
    model="gpt-4o",
    messages=[{"role": "user", "content": "Hi"}],
    stream=True,
    temperature=0.5
)

async def generate():
    async for chunk in stream:
        if 'result' in chunk:
            print(chunk['result'], end='')
        else:
            print(f"\n{chunk}")

asyncio.run(generate())

Non-Streaming Chat

chat_completion = client.chat_create(
    messages=[
        {
            "role": "user",
            "content": "Hi",
        }
    ],
    model="gpt-4o",
)
print(chat_completion)

Configuration

Replace the key and id parameters in the MNN client initialization with your own API key and user ID. Adjust the prompt, model, and other parameters as needed for your specific use case.

License

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

Discord

https://discord.gg/Ku2haNjFvj