Abhikalpan-Hackathon

Setting up this project on your local machine is really easy.

Installation instructions:

• Download and install python 3.6 and git
• Clone using $ git clone https://github.com/Sanji515/Abhikalpan-Hackathon.git && cd Abhikalpan-Hackathon

Run

• Install virtualenv

  • on Ubuntu: $ sudo apt install python-virtualenv
  • on Windows: $ pip install virtualenv

• Create a virtual environment

  • on Ubuntu: $ virtualenv venv -p python3.6
  • on Windows: $ virtualenv venv

• Activate the environment:

  • on Ubuntu: $ source venv/bin/activate
  • on Windows: $ ./venv/Scripts/activate

• Install the requirements: $ pip install -r requirements.txt

• Make migrations $ python manage.py makemigrations

• Migrate the changes to the database $ python manage.py migrate

• Run the server $ python manage.py runserver

That's it. Open web browser and hit the url http://127.0.0.1:8000

Steps for training model:

1. Prerequisites:

• IBM Cloud account: If you do not have an IBM Cloud account, you can create an account Click Here .
• Watson Knowledge Studio account: User must have a WKS account. If you do not have an account, you can create a free account click Here. Make a note of the login URL since it is unique to every login id
• Basic knowledge of building models in WKS: The user must possess basic knowledge of building model in WKS in order to build a custom model. Check getting started documentation Click Here

2. Create NLU service instance:

• Step1: Click here to create NLU service and enter the service name
• Step2: Once you click on Create NLU service instance should get created.

3. Training Your Model:

• Click Create Workspace in Watson Knowledge Studio
• In the Create Workspace pop up window, enter the name of the new project. Click Create
• Click on the workspace you created and on Entity Type Click on Upload and add json file Abhikalpan-Hackathon/Watson_knowlege_Studio/Entities/types-de2a5c20-3cc6-11e9-9a38-235c4e7dcc32.json
• On Documents Click Upload and select Abhikalpan-Hackathon/Watson_knowlege_Studio/dataset/corpus-de2a5c20-3cc6-11e9-9a38-235c4e7dcc32.zip
• Click on Annotation Task under Machine Learning model and click on task available
• Click on Task which is in Not Complete and make each task Complete
• Click on Versions under Machine learning model and create new version and deploy it to Natural Language Understanding services
• Click on Performance under Machine learning model and click on Train and Evaluate button which will train the model against the annotations

4. Analyze Results:

• Run the Abhikalpan-Hackathon/try.py and enter any piece of secret text and the function will analyze the text