Metadata-Version: 2.1
Name: lexica-api
Version: 1.4.5
Summary: The python package for api.qewertyy.me
Home-page: https://github.com/Qewertyy/LexicaAPI
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,Image Reverse Search,Reverse Image Search
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 lexica 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"
    },
    {
      "id": 7,
      "name": "DarkSushi",
      "baseModel": "SD"
    },
    {
      "id": 8,
      "name": "MeinaHentai",
      "baseModel": "SD"
    },
    {
      "id": 9,
      "name": "DarkSushiMix",
      "baseModel": "SD"
    }
  ]
}
```

palm

```python
from lexica 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 lexica 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)
```
