Metadata-Version: 2.1
Name: lexica-api
Version: 1.2.0
Summary: The python package for api.qewertyy.me
Home-page: https://github.com/Qewertyy/Open-API
Author: Qewertyy
Author-email: Qewertyy.irl@gmail.com
Keywords: Python,API,Bard,Google Bard,Large Language Model,Chatbot API,Google API,Chatbot,Image Generations,Latent Diffusion,State of Art
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.8
Description-Content-Type: text/markdown

Available Models
```python
from openapi import Client

def main() -> dict:
    client = Client()
    response = client.getModels()
    return response

if __name__ == "__main__":
    print(main())
```

output

```json
{
    "text": [
        {
            "id": 0,
            "name": "models/text-bison-001",
            "baseModel": "PaLM"
        }
    ],
    "chat": [
        {
            "id": 1,
            "name": "models/chat-bison-001",
            "baseModel": "PaLM"
        },
        {
            "id": 5,
            "name": "gpt-3.5-turbo",
            "baseModel": "GPT"
        }
    ],
    "image": [
        {
            "id": 2,
            "name": "MeinaMix",
            "baseModel": "SD"
        },
        {
            "id": 3,
            "name": "AnyLora",
            "baseModel": "SD"
        },
        {
            "id": 4,
            "name": "AnyThingV4",
            "baseModel": "SD"
        },
        {
            "id": 6,
            "name": "Bing",
            "baseModel": "Dall-E"
        }
    ]
}
```

palm

```python
from openapi import Client

def main(prompt: str) -> dict:
    client = Client()
    response = client.palm(prompt)
    return response

if __name__ == "__main__":
    print(main("hello world"))
```

upscaling an image.

```python
from openapi import Client

def main(image: bytes) -> bytes:
    client = Client()
    imageBytes = client.upscale(image)
    with open('upscaled.png', 'wb') as f:
        f.write(imageBytes)

if __name__ == "__main__":
    image = open('examples/images/image.png', 'rb').read()
    main(image)
```
