CERA-Demo

This repository contains script for a working demo of the models found in the Pole-Validation repository. By running the app.py file, a streamlit application of the demo will become accessible. This demonstration site has been created to display the rudimentary capabilities of the DETR Object Detection Model, and the two NLP models (SVM Topic Classification and VADER Sentiment Analysis) incorporated in the conception of the CERA platform.

Setup

Conda Environment

After cloning the repo, create a virtual environment and navigate to the root folder and run:

pip install -r requirements.txt

CERA Model Demo

Run the CERA Model Demo page by running the following after setup is complete:

streamlit run app.py

Project Structure

├── models/
│   ├── detr/
│   |   ├── raw/
│   |   ├── results/
│   |   ├── svm_model.pkl
|   |── app.py
|   |── requirements.txt
|   |── README.md