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- Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ Elbrus Bootcamp | Phase-2 | Team Project
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+
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+ ## TeamπŸ§‘πŸ»β€πŸ’»
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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 πŸ“Œ
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+ Develop a search system for series based on user requests πŸ”¦
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+
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+ ## Contents πŸ“
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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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+
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+ ## Deployment 🎈
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+ The service is implemented on [Huggingface](https://huggingface.co/spaces/Awlly/TVShowRecommender)πŸ€—
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+
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+ ## Libraries πŸ“–
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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 πŸ“œ
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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