---
title: TVShowRecommender
emoji: 📊
colorFrom: yellow
colorTo: indigo
sdk: streamlit
sdk_version: 1.31.0
app_file: app.py
pinned: false
---

Elbrus Bootcamp | Phase-2 | Team Project

## Team🧑🏻‍💻
1. [Van Biervliet Alexander](https://github.com/Awlly)
2. [Timofeeva Ekaterina](https://github.com/katyyyyyas)
3. [Shatalova Oksana](https://github.com/datascientist23)


## Task 📌
Develop a search system for series based on user requests 🔦

## Contents 📝

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

## Deployment 🎈
The service is implemented on [Huggingface](https://huggingface.co/spaces/Awlly/TVShowRecommender)🤗

## Libraries 📖
```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 📜 
####  How to run locally?

1. To create a Python virtual environment for running the code, enter:

    ``python3 -m venv myvenv``

2. Activate the new environment:

    * Windows: ```myvenv\Scripts\activate.bat```
    * macOS and Linux: ```source myvenv/bin/activate```

3. 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