A simple web app prototype that uses sentiment analysis to rate text reviews on a scale of 1 to 5.
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This repository uses Git Large File Storage(git-lfs) to host large binary files(.pickle, .h5, etc). If you don't have git lfs installed on your system, go ahead install it from here: https://git-lfs.github.com/
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Next, inside the empty folder in which you want to clone, run the command
git lfs install -
That's it, now clone this repo with the usual command:
git clone https://github.com/yashprakash13/ReviewRater.git -
To run the web app, after the lfs objects have been prooperly downloaded into your local folder, type
python main.py. -
Go to http://127.0.0.1:5000/ and test the app with the following credentials:
- email: hello@world.com
- password: 1234567
- Payment details : enter anything in the boxes and use the demo card no 4242 4242 4242 4242
- type a review and click Predict!
This project uses:
- Flask for the web app
- Firebase for authentication of users (registration and login)
- Stripe for payment demo and
- Sentiment analysis machine learning models for rating the review (Folders Model, Model2 and Model3)
