Content-Based Movie Recommendation System using NLP & Embeddings
movie-recommendation-system/ │ ├── app.py ├── embedding_movie.csv # ignored in git ├── requirements.txt ├── Dockerfile ├── .gitignore ├── system/ │ ├── init.py │ ├── data.py │ └── rem_system.py └── .streamlit/ └── secrets.toml # ignored in git
firts main step to run jupyter notebooke and generate embeddings and save with movie detail in csv file and paste in project folder
git clone https://github.com/deathsamsu/NLP-Embedding-Content-Based-Recommendation-System.git python -m venv myenv myenv/Scripts/activate pip install -r requirements.txt
TMDB_API_KEY='your api key' # create .streamlit/secrets.toml file
streamlit run app.py