The python package for api.qewertyy.dev


Keywords
Python, API, Bard, Google, Large, Language, Model, Chatbot, Image, Generations, Latent, Diffusion, State, of, Art, Reverse, Search, ai, api-rest, gpt, gpt3-turbo, image-search, instagram-downloader, latent-diffusion, reverse-image-search, stable-diffusion, state-of-art, text-to-image
License
MIT
Install
pip install lexica-api==1.5.9

Documentation

Here are some projects which utilizes the LexicaAPI.

AverageAI

  • Name: AverageAI
  • Description: Image Generations and LLMs.

AverageImages

  • Name: AverageImages
  • Description: Search Images on google and bing.

Upscale

  • Name: Upscale
  • Description: Upscale Images.

AverageNews

Social-DL

  • Name: Social-DL
  • Description: Download Videos/Images from social media.

TelegramBots

Miko, Sung, GameInfoBot, YaeMiko, FilterBot, News etc..

Usages

LLM's

from lexica import Client, languageModels

def main(prompt: str) -> dict:
    client = Client()
    response = client.palm(prompt,languageModels.palm2)
    return response

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

Upscale an image.

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)

Anti-NSFW

from lexica import Client

def main(image_url: str) -> dict:
    client = Client()
    response = client.AntiNsfw(image_url)
    if response['content']['sfw'] == True:
        return "This image is safe for work."
    else:
        return "This image is not safe for work."

if __name__ == "__main__":
    print(main("https://graph.org/file/13e95c6cc932530823391.png"))