This project is built on a basic file upload example in django wrapped with HPE's Haven on Demand APIs to analyse the sentiment of an audio file and get the positive/negative score of the same.
Project contains source code that was made originally for the Django file upload example at StackOverflow.
Goal of this project is to be able to convert audio to text and also analyse the sentiment of the audio i.e., if it is a positive one or a negative one or both.
- Django 1.8
- HPE's Haven on Demand APIs - http://havenondemand.com
- Speech Recognition: https://dev.havenondemand.com/apis/recognizespeech
- Sentiment Analysis: https://dev.havenondemand.com/apis/analyzesentiment
Login to Haven on Demand and get your APIkey.
Enter your APIkey in "views.py" file. (path: ../src/for_django_1-8/myproject/myproject/myapp/views.py)
$ cd ../src/for_django_1-8/myproject
$ python manage.py collectstatic
$ python manage.py runserver
Navigate to http://localhost:8000/myapp/list and test it out.
- Vamshi Bussa.
- Sushmitha T.
- Harichandana Y.