STEP 1. SETUP Python Virtual Environment

Create a directory: eg: djangoenv

mkdir djangoenv
cd djangoenv

Create a python venv

python3.8 -m venv djangoenv

Activate the virtual Environment

source djangoenv/bin/activate

Install the required packages for out project using pip

pip install django scikit-learn pandas matplotlib pickle-mixin

[To leave your virtual environment, you need to issue the deactivate command from anywhere on the system:]

deactivate

STEP 2: Create django project

Create django project (name : salary_prediction_django) using django-admin

---

 django-admin startproject salary_prediction_django

• Create static, templates, model directory in root directory of project
• Copy model.py and hiring.csv to model directory
• Create index.html in templates directory
• Create css/style.css in static directory

Modify Django setting:

---

• Goto directory salary_prediction_django -> open settings.py

• Add filepath to acess our model from django views.py file

  import os FILES_DIR = os.path.abspath(os.path.join(BASE_DIR, 'model'))

• Check the templates setting

    TEMPLATES = [
    {
        'BACKEND': 'django.template.backends.django.DjangoTemplates',
        'DIRS': [''],
        'APP_DIRS': True,
        'OPTIONS': {
            'context_processors': [
                'django.template.context_processors.debug',
                'django.template.context_processors.request',
                'django.contrib.auth.context_processors.auth',
                'django.contrib.messages.context_processors.messages',
            ],
        },
    },
  

  ]

• Add the templates directory to DIRS

    TEMPLATES = [
  
    {
        'BACKEND': 'django.template.backends.django.DjangoTemplates',
        'DIRS': ['templates'],
        'APP_DIRS': True,
        'OPTIONS': {
            'context_processors': [
                'django.template.context_processors.debug',
                'django.template.context_processors.request',
                'django.contrib.auth.context_processors.auth',
                'django.contrib.messages.context_processors.messages',
            ],
        },
    },
  

  ]

• Add settings to access static files (to import css file in our templates)

    STATIC_URL = '/static/' 
  
    STATICFILES_DIRS = [
        os.path.join(BASE_DIR, "static"),
    ]
  

• Created views.py

• Added view to urls.py by importing views.py

---

STEP 3: Creating Docker Image

---

1. Generate a list of packages required to run our project

---

pip freeze > requirements.txt

This will add all the installed packages in our venv to requirements.txt The packages will be installed in container using the 'pip install -r requirements.txt' command.

---

2. Create Dockerfile

---

FROM ubuntu:20.04
ENV PYTHONUNBUFFERED=1
RUN apt-get update && apt-get install -y tzdata && apt install -y python3.8 python3-pip
RUN apt install python3-dev libpq-dev nginx -y
RUN mkdir /app
COPY requirements.txt /
RUN pip install -r requirements.txt
ADD . /app
WORKDIR /app
EXPOSE 8000
CMD ["gunicorn", "--bind", ":8000", "--workers", "3", "salary_prediction_django.wsgi"]

3. Build Docker Image:

---

docker build -t salary_prediction_django .

4. Run the container:

---

docker run -d -p 8000:8000 salary_prediction_django