Skip to main content

Asynchronous Python Wrapper For HorridAPI

Project description

HorridAPI

Pip Install

pip install HorridAPI

Usage

from HorridAPI import api
ai = api.llama("who are you")
print(ai)

Mango Ai

from HorridAPI import Mango

mango = Mango()

response = mango.chat.completions.create(
    model="gpt-3.5",
    messages=[{"role": "user", "content": "Hello"}]
)

print(response.text)

MangoSeed

Introducing MangoSeed AI

MangoSeed is a super cool AI that offers the following features:

  • User Data Storage: You can save user data to the AI, allowing for personalized experiences and tailored interactions.
  • Upgradability: The AI can be upgraded to make it even more cool and advanced, ensuring it stays cutting-edge and efficient.

MangoSeed sample code

from MangoSeed import Mseed
from MangoSeed.payload import create_payload

ai = Mseed("") # add here your mongo db

response = ai.generate(
            system="You are a Help full assistant, You act like a good human",
            prompt=query,
            user_id=message.from_user.id,
            model="gpt-3.5"
        )
print(response["result"])

MangoSeed user message delete

how to delete that user message from db 🤔

here the code of delete user data

from MangoSeed import Mseed

delete = Mseed("") # add here your mongo db url


delete.delete_user_messages(12345) # add here which user data you want delete that user id

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

horridapi-1.0.55.tar.gz (8.9 kB view details)

Uploaded Source

Built Distribution

HorridAPI-1.0.55-py3-none-any.whl (13.3 kB view details)

Uploaded Python 3

File details

Details for the file horridapi-1.0.55.tar.gz.

File metadata

  • Download URL: horridapi-1.0.55.tar.gz
  • Upload date:
  • Size: 8.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for horridapi-1.0.55.tar.gz
Algorithm Hash digest
SHA256 972ebe4e46ea1c875893afc9af615d625f59199a6a9d0a77bb892a1a7438eb42
MD5 dc05df8b74d0cf9e9281e446d165c581
BLAKE2b-256 d873f232aebee9ba5040a325162df99e9cc38153925e11a3a0d3bd4d98525e4f

See more details on using hashes here.

File details

Details for the file HorridAPI-1.0.55-py3-none-any.whl.

File metadata

  • Download URL: HorridAPI-1.0.55-py3-none-any.whl
  • Upload date:
  • Size: 13.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for HorridAPI-1.0.55-py3-none-any.whl
Algorithm Hash digest
SHA256 3ac665d30b71ff1410a682f4357b574a6e65cf1389f7c02eb846f721cb55f7e3
MD5 0d349feddb003462d13fa3aac9332e14
BLAKE2b-256 bb0282a9fc2260b1fac450bff0ba66023ec97dd9a7efefe9e3d9eda457938626

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page