Skip to content

MasteriNeuron/Spam-Classifier

Repository files navigation

SmS_Spam_Classifier

Certainly, here are the step-by-step instructions for setting up and running the application using a virtual environment for Python 3.9:

  1. Setup Virtual Environment:

    • Open the terminal.
    • Install the virtual environment package if you haven't already: conda create -p venv python=3.9 -y.
    • Create a virtual environment: virtualenv venv.
    • Activate the virtual environment: conda activate venv/
  2. Install Requirements:

    • Install the requirements: pip install -r requirements.txt.
  3. Set Up the Jupyter Notebook:

    • Open the Jupyter Notebook in your virtual environment.
    • pip install ipykernel
    • pip install jupyter notebook
  4. Run Application.py: -python appl.py

  5. Let's Deploy it at Render.com: -go to this website: https://dashboard.render.com/web -then click on new and choose web serivces -choose this :Build and deploy from a Git repository and click on next -then in settings :image

  6. So click on manual Deploy and select deploy with latest commit -and wait 2-3 mint after that your website will be published. -https://spam-classifier-d15y.onrender.com/

    image

    The output: image

By following these steps, you can set up a virtual environment, install necessary requirements, and run the app.py script in the Jupyter Notebook environment. This process helps ensure a clean and isolated development environment for your application.

Hurray Enjoy the code

Master_iNeuron

About

ML Project

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages