https://github.com/jalpa015/ml-webapp-integration

A small web app to show movie recommendations based on entered movie input
https://github.com/jalpa015/ml-webapp-integration

flask heroku-app heroku-deployment jinja2 machine-learning python

Last synced: 2 months ago
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A small web app to show movie recommendations based on entered movie input

• Host: GitHub
• URL: https://github.com/jalpa015/ml-webapp-integration
• Owner: jalpa015
• Created: 2021-01-05T02:32:06.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2023-05-09T02:50:28.000Z (about 3 years ago)
• Last Synced: 2025-03-27T10:24:16.731Z (over 1 year ago)
• Topics: flask, heroku-app, heroku-deployment, jinja2, machine-learning, python
• Language: Jupyter Notebook
• Homepage: https://moviify.herokuapp.com/
• Size: 2.48 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 2
• Metadata Files:
  • Readme: README.md

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README

          
# Recommendation System

- A Flask application to execute integration of Machine Learning model with a web application 

Dataset used:

[TMDB Movies Dataset](https://www.kaggle.com/tmdb/tmdb-movie-metadata?select=tmdb_5000_movies.csv) 

## Getting Started

On the command line type

`set FLASK_APP=app.py`

To run the app next type the following command - 

`flask run`

Flask run starts the app on http://127.0.0.1:5000/. API can be tested on Postman as well.