Steps to run the project:

• Clone the project.

• If using Conda:

  Prerequisites:

  • Conda
  • Any latest Web Browser
  1. Open Conda Command Prompt.
  2. cd into Gensim_utility\
  3. Create the project env and install dependencies with conda env create -f projectgs.yml
  4. Activate the env with activate projectgs
  5. cd into myproject\
  6. Run the project with python3 manage.py runserver
  7. Open your preferred web browser
  8. Go to https://127.0.0.1:8000
  9. To use Admin: username:admin and password:a1s2d3f4
  10. Explore and use Gensim Utility

• If using Pip: Prerequisites:

  • Pip, Python 3.7+
  • Any latest Web Browser
  1. Open cmd.
  2. cd into Gensim_utility\
  3. Create a env called 'projectgs' with python3 -m venv projectgs
  4. Activate the env with source projectgs/bin/activate
  5. Install the dependencies with pip install -r requirements.txt
  6. cd into myproject\
  7. Run the project with python3 manage.py runserver
  8. Open your preferred web browser
  9. Go to https://127.0.0.1:8000
  10. To use Admin: username:admin and password:a1s2d3f4
  11. Explore and use Gensim Utility

1. Open the sidebar by clicking on Menu button.
2. Click on Similarity Generation option.
3. Choose a dataset each from the preloaded datasets from each dropdown menu on the screen.
4. Click Submit button under both menus to confirm your selection.
5. You can also import time series datasets(with timestamp in the first column) by clicking on the Import dataset radio button and pasting the URLs in the text boxes that appear.
6. Click Submit button to confirm your URLs.
7. Click on the generate button and wait for the results to be generated. It may take a while depending on the datasets chosen.
8. A new page Visualisation appears. Explore the steps taken and the graphs generated for both datasets during the process.
9. At the bottom of the screen it shows the 8 similarity measures calculated for the chosen datasets.
10. Click on the Download report button and wait for a few seconds to get the onscreen results in a pdf format.

Visit a demo on https://demo-gensimutility.herokuapp.com/