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Awlly/TVShowRecommender

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1---2title: TVShowRecommender3emoji: πŸ“Š4colorFrom: yellow5colorTo: indigo6sdk: streamlit7sdk_version: 1.31.08app_file: app.py9pinned: false10---11 12Elbrus Bootcamp | Phase-2 | Team Project13 14## TeamπŸ§‘πŸ»β€πŸ’»151. [Van Biervliet Alexander](https://github.com/Awlly)162. [Timofeeva Ekaterina](https://github.com/katyyyyyas)173. [Shatalova Oksana](https://github.com/datascientist23)18 19 20## Task πŸ“Œ21Develop a search system for series based on user requests πŸ”¦22 23## Contents πŸ“24 251. Parse data from sites about TV series262. Select the appropriate model for our data27 28## Deployment 🎈29The service is implemented on [Huggingface](https://huggingface.co/spaces/Awlly/TVShowRecommender)πŸ€—30 31## Libraries πŸ“–32```python33 34import streamlit as st35from PIL import Image36import requests37from io import BytesIO38from sentence_transformers import SentenceTransformer39import faiss40import pandas as pd41```42## Guide πŸ“œ 43####  How to run locally?44 451. To create a Python virtual environment for running the code, enter:46 47    ``python3 -m venv myvenv``48 492. Activate the new environment:50 51    * Windows: ```myvenv\Scripts\activate.bat```52    * macOS and Linux: ```source myvenv/bin/activate```53 543. Install all dependencies from the *requirements.txt* file:55 56    ``pip install -r requirements.txt``57 58Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference