## Here are some projects which utilizes the LexicaAPI.
### AverageAI
- **Name:** [AverageAI](https://ai.qewertyy.dev)
- **Description:** Image Generations and LLMs.
### AverageImages
- **Name:** [AverageImages](https://images.qewertyy.dev)
- **Description:** Search Images on google and bing.
### Upscale
- **Name:** [Upscale](https://upscale.qewertyy.dev)
- **Description:** Upscale Images.
### AverageNews
- **Name:** [AverageNews](https://news.qewertyy.dev)
- **Description:** News App.
### Social-DL
- **Name:** [Social-DL](https://social-dl.vercel.app)
- **Description:** Download Videos/Images from social media.
### TelegramBots
[Miko](https://github.com/Awesome-Tofu/miko-bot), [Sung](https://github.com/Dhruv-Tara/Sung), [GameInfoBot](https://github.com/barryspacezero/Telegram-GameInfoBot), [YaeMiko](https://github.com/Infamous-Hydra/YaeMiko), [FilterBot](https://github.com/Codeflix-Bots/AutoFilter), [News](https://github.com/SOMEH1NG/TechNewsDigest) [etc..](https://github.com/search?q=https%3A%2F%2Fapi.qewertyy.dev&type=code)
## Usages
LLM's
```python
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.
```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)
```
Anti-NSFW
```python
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"))
```
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"description": "## Here are some projects which utilizes the LexicaAPI.\n\n### AverageAI\n- **Name:** [AverageAI](https://ai.qewertyy.dev)\n- **Description:** Image Generations and LLMs.\n\n### AverageImages\n- **Name:** [AverageImages](https://images.qewertyy.dev)\n- **Description:** Search Images on google and bing.\n\n### Upscale\n- **Name:** [Upscale](https://upscale.qewertyy.dev)\n- **Description:** Upscale Images.\n\n### AverageNews\n- **Name:** [AverageNews](https://news.qewertyy.dev)\n- **Description:** News App.\n\n### Social-DL\n- **Name:** [Social-DL](https://social-dl.vercel.app)\n- **Description:** Download Videos/Images from social media.\n\n### TelegramBots\n[Miko](https://github.com/Awesome-Tofu/miko-bot), [Sung](https://github.com/Dhruv-Tara/Sung), [GameInfoBot](https://github.com/barryspacezero/Telegram-GameInfoBot), [YaeMiko](https://github.com/Infamous-Hydra/YaeMiko), [FilterBot](https://github.com/Codeflix-Bots/AutoFilter), [News](https://github.com/SOMEH1NG/TechNewsDigest) [etc..](https://github.com/search?q=https%3A%2F%2Fapi.qewertyy.dev&type=code)\n## Usages\nLLM's\n```python\nfrom lexica import Client, languageModels\n\ndef main(prompt: str) -> dict:\n client = Client()\n response = client.palm(prompt,languageModels.palm2)\n return response\n\nif __name__ == \"__main__\":\n print(main(\"hello world\"))\n```\n\nUpscale an image.\n```python\nfrom lexica import Client\n\ndef main(image: bytes) -> bytes:\n client = Client()\n imageBytes = client.upscale(image)\n with open('upscaled.png', 'wb') as f:\n f.write(imageBytes)\n\nif __name__ == \"__main__\":\n image = open('examples/images/image.png', 'rb').read()\n main(image)\n```\n\nAnti-NSFW\n```python\nfrom lexica import Client\n\ndef main(image_url: str) -> dict:\n client = Client()\n response = client.AntiNsfw(image_url)\n if response['content']['sfw'] == True:\n return \"This image is safe for work.\"\n else:\n return \"This image is not safe for work.\"\n\nif __name__ == \"__main__\":\n print(main(\"https://graph.org/file/13e95c6cc932530823391.png\"))\n```\n",
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