https://github.com/mendez-luisjose/iris-flower-classificator-with-scikit-learn-streamlit-and-deployed-with-flask-

Iris Flower Classificator with Scikit Learn, Streamlit and Deployed with Flask
https://github.com/mendez-luisjose/iris-flower-classificator-with-scikit-learn-streamlit-and-deployed-with-flask-

sckiit-learn streamlit

Last synced: 22 days ago
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Iris Flower Classificator with Scikit Learn, Streamlit and Deployed with Flask

• Host: GitHub
• URL: https://github.com/mendez-luisjose/iris-flower-classificator-with-scikit-learn-streamlit-and-deployed-with-flask-
• Owner: mendez-luisjose
• Created: 2023-10-21T20:50:06.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-10-21T21:25:41.000Z (over 1 year ago)
• Last Synced: 2023-10-21T22:24:12.333Z (over 1 year ago)
• Topics: sckiit-learn, streamlit
• Language: Jupyter Notebook
• Homepage: https://iris-flower.streamlit.app/
• Size: 1.9 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Iris Flower Classificator with Scikit Learn, Streamlit and Deployed with Flask 

![](./assets/prev-1.gif)

## Iris Flower Classificator with Scikit Learn, Numpy, Pandas, Streamlit and Deployed with Flask 

The Model was trained with Tabular Iris Flower Data and with the `SVC` Scikit-Learn Architecture. The Model predicts if a given Iris Flower is either `Setosa`, `Versicolo` or `Virginica`, also the U.I. to select the parameters of the Iris Flower was built with Streamlit and the API with Flask. 

## Check-it out the App Deployed in the Streamlit Services

Iris Flower Classificator App Deployed at: https://iris-flower.streamlit.app/

## Run it Locally

Test it Locally by running the `app.py` file, built with `Streamlit`, and the `api.py` file with `Flask`. Remember first to run the `api.py` file, copy the http url and saved in the API variable of the `app.py` file, and uncomment the code lines.

## App made with Streamlit

```sh

streamlit run app.py

```

## Deployed with Flash

```sh

python3 api.py

```

![](./assets/prev-2.gif)

## Resources

- Iris Flower Dataset: https://www.kaggle.com/datasets/arshid/iris-flower-dataset