- create folder named
project
and inside that folder create another folder calledWine-Quality-Predictor
and extract the zip file code into it. - navigate into ./project in CLI
- create a python virtual environment in it using
python -m venv .
- activate the virtual environment by running
./Scripts/Activate.ps1
inside projects dir - there's a requirement.txt file inside main ./Wine-Quality-Predictor folder copy it back in the ./projects folder
- then run command
pip install -r requirements.txt
inside that dir, this will install all the necessary libraries that are needed to run this locally - when everything is installed go into the project folder inside CLI and then run
python server.py
- this will run the flask server and you can go to the given IP address, access the front end input fields and put in the values to test the validity of the project
-
Notifications
You must be signed in to change notification settings - Fork 0
uzairahmednasir/Wine-Quality-Predictor
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
About
semester project for machine learning course
Topics
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published