This is the prototype developed for the classification of FIRs written in the language Kannada, it is deployed at : https://fir-classification.herokuapp.com/
- Page to enter the case of the text
- Page to upload the PDF
- Sample case statement : XYZ received a call that he had got a job offer and was asked to send his personal documents and money after which he was not given a job.The classification is aptly obtained as the type JOB SCAM
Steps to follow to locally setup the project
- Ensure to have Python with version >= 3.6
- Preferably create a virtual environment
- Clone the repository
- Install all the dependencies by
pip install -r requirements.txt - To install
POPPLERone of the dependencies, this article can be followed for those on Windows : https://newbedev.com/how-to-install-poppler-on-windows, for those on Ubuntu or Mac OS this canbe followed : https://pdf2image.readthedocs.io/en/latest/installation.html - Run
streamlit run app.pyfrom the root directory and openPORT 8501
In order to deploy this application, I have compiled all the steps in a blog
https://namyalg.medium.com/deploy-a-streamlit-app-on-heroku-with-ocr-c0ec2a3dab2e