Skip to content

The Movie Database for all language movies

Notifications You must be signed in to change notification settings

tugra-alp/The-Movie-Cinema

 
 

Repository files navigation

The-Movie-Cinema

Python Framework Frontend API

This application provides all the details of the requested movie such as overview, genre, release date, rating, runtime, top cast, reviews, recommended movies, etc.

The details of the movies(title, genre, runtime, rating, poster, etc) are fetched using an API by TMDB, https://www.themoviedb.org/documentation/api, and using the IMDB id of the movie in the API, I did web scraping to get the reviews given by the user in the IMDB site using beautifulsoup4 and performed sentiment analysis on those reviews.

Check out the live demo: https://the-movie-cinema.herokuapp.com/

Note

Don't worry if the movie that you are looking for is not auto-suggested. Just type the movie name and click on "enter". You will be good to go eventhough if you made some typo errors.

How to get the API key?

Create an account in https://www.themoviedb.org/, click on the API link from the left hand sidebar in your account settings and fill all the details to apply for API key. You will see the API key in your API sidebar once your request is approved.

How to run the project?

  1. Install all the libraries mentioned in the requirements.txt file.
  2. Clone this repository in your local system.
  3. Replace YOUR_API_KEY in the static/recommend.js file.
  4. Open the command prompt from your project directory and run the command python main.py.
  5. Go to your browser and type http://127.0.0.1:5000/ in the address bar.
  6. Hurray! That's it.

Sources of the datasets

  1. IMDB 5000 Movie Dataset
  2. The Movies Dataset
  3. List of movies in 2018
  4. List of movies in 2019
  5. List of movies in 2020

About

The Movie Database for all language movies

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Jupyter Notebook 85.3%
  • JavaScript 5.3%
  • HTML 5.3%
  • Python 2.3%
  • CSS 1.8%