Module for using MNN API
Project description
MNNAI
This repository contains an example of how to use the mnnai library.
Prerequisites
- Python 3.x
- MNNAI library installed. You can install it using pip:
pip install mnnai
Usage
Non-Streaming Chat
from mnnai import MNN
client = MNN(
key='MNN API KEY',
id='MNN ID',
# max_retries=2,
# timeout=60
)
chat_completion = client.chat_create(
messages=[
{
"role": "user",
"content": "Hi",
}
],
model="gpt-4o-mini",
)
print(chat_completion)
Image Generation
import base64
import os
response = client.Image_create(
prompt="Draw a cute red panda",
model='dall-e-3'
)
image_base64 = response['data'][0]['urls']
os.makedirs('images', exist_ok=True)
for i, image_base64 in enumerate(image_base64):
image_data = base64.b64decode(image_base64)
with open(f'images/image_{i}.png', 'wb') as f:
f.write(image_data)
print("Images have been successfully downloaded!")
Models
print(client.GetModels())
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.
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