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movie_recommender's Introduction

movie_recommender

  • Step 1: Install Jupyter Notebook using command: pip install jupyter
  • Step 2: Run jupyter notebook using jupyter notebook
  • Step 3: On the jupyter notebook web server, navigate to the main.ipynb of the project and run the file.
  • Step 4: Check on your current directory to see if there are 2 more new files generated called similarity.pkl and movies_list.pkl
  • Step 5: Close jupyter notebook web server and open your python IDE.
  • Step 6: At the root of the project, open your terminal and create an environment using: python3 -m venv venv
  • Step 7: Activate your virtual environment: source venv/bin/activate
  • Step 8: Install project dependencies: pip install -r requirements.txt
  • Step 9: Open app.py file, at line 14, paste the following to api_key = 3c97ffe6a040517e18ab492c667a5f7e
  • Step 10: Run this command to open the web app: streamlit run app.py

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