Movie Recommender App

Overview

This repo contains an example demonstrated at Azure Python Day 2023 in the How to build a practical AI app with Python, Redis, and OpenAI session.

app.py contains the main Streamlit application langchain.ipynb is a juptyer notebook walking through the process of ingesting the data into pandas, filtering it, generating embeddings, loading into Redis, and performing search queries. You might want to start here :)

Prerequsites

• An Azure OpenAI Service instance, with the text-embedding-ada-002 (version 2) model deployed
  • You may need to apply for access if access is still being restricted.
• An Azure Cache for Redis instance
  • You must use an Enterprise tier instance (e.g. E5, E10, etc.)
  • You must provision the instance using the Enterprise cluster policy and with the RediSearch module installed.
• If running locally, you must configure the environment variables for the OpenAI key, models, and endpoints, plus the Redis key and endpoint.
• If deploying through a container, you must configure the environement variables in the Dockerfile.

The Movie Recommender application (e.g. app.py) expects that the Redis instance already has embeddings loaded and a search index established. You may want to run the jupyter notebook first so this is set up.

Deploying to Azure

az-containerapp-up is an extremely convenient way to deploy to an Azure Container App instance. All you need is the dockerfile and an Azure subscription!

Questions

This repo is a work in progress. If you have questions, please feel free to email [email protected]

License Details

wiki_movie_plots_1970to2017.csv and wiki_movie_plots_deduped.csv (c) by JustinR

Original data source: Wikipedia Movie Plots - Kaggle

Data in wiki_movie_plots_1970to2017.csvwas modified to filter for only entries from 1970 or later, and take only films from America, Australia, Canada, and Britain.

wiki_movie_plots_1970to2017.csv and wiki_movie_plots_deduped.csv are licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

You should have received a copy of the license along with this work. If not, see http://creativecommons.org/licenses/by-sa/4.0/.

All other work is licensed under the MIT license.