Steps For Deploying the Application on the web:
- Clone the bitbucket repository
- Copy the contents of web_deployment folder into the servlet container of CGI Server like Apache Httpd.
- Make sure the server has support to run the python programs. if it does not install python 2.7 from: https://www.python.org/downloads/
- Follow the steps for installing NLTK module given here: http://www.nltk.org/data.html
- Download the Cornell multi class svm Classifier binary from here: https://www.cs.cornell.edu/people/tj/svm_light/svm_multiclass.html
- go to web_deployment directory and update the path of the classifier to point to the SVM binaries.
- Open the genre.html from within the server like below.
localhost:8080/~username/web_deployment/genre.html
- Enter the plot summary in the text box given and click on get genre button.
- The system takes some time to predict the genre the first time since it has to load the model into memory.