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)
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
Mseed.mongo("") # add here your mongo db
payload = create_payload([
{"role": "assistant", "content": "You are a helpful assistant, Your name is Gojo,"},
{"role": "user", "content": "who are you"}
])
print(Mseed.generate(payload, 12345, "gemma"))
MangoSeed user message delete
how to delete that user message from db 🤔
here the code of delete user data
from MangoSeed import Mseed
Mseed.mongo("") # add here your mongo db url
Mseed.delete_user_messages(12345) # add here which user data you want delete that user id
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
horridapi-1.0.32.tar.gz
(7.3 kB
view details)
Built Distribution
File details
Details for the file horridapi-1.0.32.tar.gz
.
File metadata
- Download URL: horridapi-1.0.32.tar.gz
- Upload date:
- Size: 7.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.6
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 69a6be3741d78e079c36fabb631c8b0ad2adb93d25e7f21873de6097ce677c27 |
|
MD5 | 7217531c4372cdab17d11622a88d054c |
|
BLAKE2b-256 | cc4870559a34762888ec9264e483994bc743ee722b0553c47ecc92c746a1e0a5 |
File details
Details for the file HorridAPI-1.0.32-py3-none-any.whl
.
File metadata
- Download URL: HorridAPI-1.0.32-py3-none-any.whl
- Upload date:
- Size: 10.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.6
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 677fd7c83440e3fcb5fe8cb96067bfe6830660c987d90cd279ac6875050b2883 |
|
MD5 | b42fdf1860ff0e095fcdd20ee3b29441 |
|
BLAKE2b-256 | f26bb5320e944f6af01895ca9f6afe910b555af815d54f0157b48156892ce182 |