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 QueryInstallation
~ pip install osusume --upgradeYou 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
