This RNN based model predicts movies popularity based on users reviews and scores on Imdb.com and creates an HTML file with relevant statistics.

Features:

• Classifies user's reviews with an RNN model.
• Trained on 40,000 movie reviews that were scraped from imdb.com.
• Exports an HTML file with statistics about recently published movies.
• Generates a review for the top movie of the week.
• Updates weekly according to Imdb: movies in theaters.
• Can be applied on custom movie lists

Requierments:

• tensorflow 2.0+
• nltk

Quick start:

Run this command to get the summary in an HTML file:

python src/moviescoreai.py --name <name for the HTML file>  --output <output path> --start <Optional, if you want to file to open by defult>
--movies-url <url for your movies list >

Example:

Here's an example for summarizing a custom made_list on Imdb:

python src/moviescoreai.py --name example  --output runs/example --start True
--movies-url https://www.imdb.com/list/ls089653199/?ref_=otl_3

That's it! After running this command, the html file will be saved to the output path. Example_result: