MOVIE_FIELDS = ["movieId", "id", "imdb_id", "original_title", "title", "overview", The movies_df and candidates variables store the movie database and the embeddings, respectively. The function setup_movie_database defines the fields, cleans the data by removing null values, and then fills in empty fields, adds a movie ID field, and returns the movie database and the embeddings representing movie descriptions. The code below builds the movie database. You’ll see how to embed a movie description later on. This file also includes pre-calculated embeddings of each movie's description. You can get this data from a variety of sources, such as the Internet Movie Database (IMDB), but this tutorial will use a premade JSON file (the_movies_with_embeddings.json), which already contains information from nearly 45,000 movies. To begin, you’ll build a movie database containing fields for the title, description, original language, and more. Keep this information private! Step 1: Gather Movie Data To get the API key, log in to the Cohere dashboard and navigate to the API Keys section. env file at the root of your directory to hold your Cohere API key. You can use the Makefile to create a virtual environment with the required libraries and dependencies using the make command or just install the necessary dependencies by running the pip install -r requirements.txt command either in a notebook or in your local environment.
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