IRIS-FLOWER-CLASSIFICATION-using-machine-learning-models

Software And Tools Requirements

1. Github Account
2. Hugging Face
3. VSCodeIDE
4. GitCLI

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tags: [iris, flower, classification, machine learning, python] datasets: - custom_dataset_name - iris_dataset license: Apache-2.0

IRIS Flower Classification using Machine Learning Models

This repository contains code and resources for training and deploying machine learning models for IRIS flower classification.

Create a new environment

conda create -p venv python==3.10.14 -y

Activating Environment

conda activate venv/

Install Requirements

pip install -r requirements.txt

Docker image run steps

docker build -t flask .
docker run  -it -p 7860:7860 flask

docker ps

Hugging face deployment steps https://huggingface.co/docs/transformers/model_doc/pegasus

pip install transformers

pip install torch
import torch
git clone https://github.com/huggingface/transformers.git
huggingface-cli login 

Configure user name

git config --global user.name "Gnaneshwari"
git config --global user.name

Configure user email

git config --global user.email "gnaneshwari.m2009@gmail.com"
git config --global user.email 

Adding Files to github

git init

git add requirements.txt     
git add .

Checking the Status of git push

git status

Commit files to git

git commit -m "This commit includes requirements.txt and readme files"

Config email for first time

git config --global user.email "gnaneshwari.m2009@gmail.com"

Pushing files in git

git push origin main

To Validate Json

https://jsonlint.com/