lexica-api

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

• Name: AverageNews
• Description: News App.

Social-DL

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

TelegramBots

Miko, AntiNSFWBot, 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.gemini)
    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"))