README.md

metadata

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
2. Timofeeva Ekaterina
3. Shatalova Oksana

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🤗

Libraries 📖

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