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Awlly/TVShowRecommender

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App README

Elbrus Bootcamp | Phase-2 | Team Project

TeamπŸ§‘πŸ»β€πŸ’»

  1. 1.Van Biervliet Alexander
  2. 2.Timofeeva Ekaterina
  3. 3.Shatalova Oksana

Task πŸ“Œ

Develop a search system for series based on user requests πŸ”¦

Contents πŸ“

  1. 1.Parse data from sites about TV series
  2. 2.Select the appropriate model for our data

Deployment 🎈

The service is implemented on HuggingfaceπŸ€—

Libraries πŸ“–

python

import streamlit as st
from PIL import Image
import requests
from io import BytesIO
from sentence_transformers import SentenceTransformer
import faiss
import pandas as pd

Guide πŸ“œ

How to run locally?
  1. 1.To create a Python virtual environment for running the code, enter:

`python3 -m venv myvenv`

  1. 1.Activate the new environment:
  • β€”Windows: ``myvenv\Scripts\activate.bat``
  • β€”macOS and Linux: ``source myvenv/bin/activate``
  1. 1.Install all dependencies from the requirements.txt file:

`pip install -r requirements.txt`

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference