Osusume (おすすめ)
Text-Based Recommendation Engine using Cohere
Osusume is a library to implement text-based recommendation engine using Cohere Embeddings and Generation API. Initally was built for a Hacktahon Submission hosted by Lablab.AI and Cohere.
Quick Start
import pandas as pd
import nltk
nltk.download('wordnet')
nltk.download('omw-1.4')
from osusume import Osusume
anime_df = pd.read_json('anime_sm.json')
engine = Osusume.from_dict({
'token': '<cohere-token>',
'dataset': anime_df,
'sentiment_column': 'synopsis',
'response_prompt': 'anime_data.txt',
'response_column': [
('Title', 'title'),
('Synopsis', 'synopsis')
]
}).fit()
engine.predict(
query='animes about monsters and aliens from another world',
n_out=3
)
# Top 3 Anime's from given Query
Installation
~ pip install osusume --upgrade
You need to use Pip to install osusume. Conda package is currently unavailable.
Requirements
- Python >= 3.8
- Cohere
- Pandas
- Numpy
- Scikit Learn
- NLTK
Author
- Abhishta Gatya (Email) - Software and Machine Learning Engineer
Metadata
Release files for osusume 1.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| osusume-1.0.1.tar.gz | 12.1 kB | Without provenance | Details for osusume-1.0.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| osusume-1.0.1-py3-none-any.whl | Python 3 | none | any | Details for osusume-1.0.1-py3-none-any.whl |
Total release size: 29.0 kB
Release files / osusume-1.0.1.tar.gz
| Download URL | osusume-1.0.1.tar.gz |
|---|---|
| Size | 12.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
9df21335a66f1b23d134fbce66ef2c1c6443a7968e93dbc620016caf8a27d367
|
|
BLAKE2b-256 checksum How to use checksums |
6b482c9354ec06ae57ee16e7fa26e545a07ce7f8ca1304972c7ea76368f4631d
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.8.9
|
Release files / osusume-1.0.1-py3-none-any.whl
| Download URL | osusume-1.0.1-py3-none-any.whl |
|---|---|
| Size | 16.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
dd5e6827f7827ba71f1f37e7dcc9e8ad5d3b0d0b0fbf5d1b74866c53347c0431
|
|
BLAKE2b-256 checksum How to use checksums |
195976947758c88b54f642e40452a7eb39eac95e710ac20f54096f93b1f045b4
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.8.9
|
Security for osusume 1.0.1
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.