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README.md
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---
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Elbrus Bootcamp | Phase-2 | Team Project
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## Teamπ§π»βπ»
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1. [Van Biervliet Alexander](https://github.com/Awlly)
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2. [Timofeeva Ekaterina](https://github.com/katyyyyyas)
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3. [Shatalova Oksana](https://github.com/datascientist23)
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## Task π
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Develop a search system for series based on user requests π¦
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## Contents π
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1. Parse data from sites about TV series
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2. Select the appropriate model for our data
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## Deployment π
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The service is implemented on [Huggingface](https://huggingface.co/spaces/Awlly/TVShowRecommender)π€
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## Libraries π
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```python
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import streamlit as st
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from PIL import Image
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import requests
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from io import BytesIO
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from sentence_transformers import SentenceTransformer
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import faiss
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import pandas as pd
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```
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## Guide π
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#### How to run locally?
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1. To create a Python virtual environment for running the code, enter:
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``python3 -m venv myvenv``
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2. Activate the new environment:
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* Windows: ```myvenv\Scripts\activate.bat```
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* macOS and Linux: ```source myvenv/bin/activate```
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3. Install all dependencies from the *requirements.txt* file:
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``pip install -r requirements.txt``
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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