This is a web application of NLP tasks made with Django.

The tasks include text generation, sentimental analysis, fill mask, machine translation, question answering and text summarization. HuggingFace is used for the pre-trained machine learning models used in the project.

I usually use Heroku to host websites, but due to the enormous size of the dependencies (specifically TensorFlow and PyTorch), the free version Heroku cannot be used to host this app. AWS EC2 and Elastic Beanstalk could work, but I don’t see the necessity to host this website considering the fees associated with running instances. So the application can only run locally for now. However, you can folk the repo and follow the steps to reproduce the web application and host it on AWS or other cloud platforms if you are interested. You may need to make some Django configurations related to static files and security when hosting it publicly depending on which cloud service you use, which can be found in the Django documentation.

• Create a virtual environment by python3 -m venv <my_venv_name>
• Activate the env by source <my_env_name>/bin/activate
• Clone my Repo by git clone <the https of the repo>
• Get into the directory where manage.py is.
• Install required packages by pip install -r requirements.txt.
• Make migrations by python3 manage.py makemigrations, then python3 manage.py migrate
• Run the application by python3 manage.py runserver

The functionality and screenshots of the web pages are shown as follows.

Homepage

Text Generation

Text Summarization

Question Answering

Sentimental Analysis

Machine Translation