osusume 1.0.1

Text-based Recommendation Engine using Cohere NLP

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.

View Changelog

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