utkarshg1/streamlit-iris repository overview

⁠Iris Prediction Application 🌸👁️

This Docker image provides an interactive Streamlit application for predicting Iris species based on sepal and petal measurements. The model is trained on the famous Iris dataset and allows users to input measurements and receive species predictions.

⁠Github link

GitHub link - https://github.com/utkarshg1/Joblib-example⁠

⁠Demo app link

Demo link - https://joblib-example.onrender.com/⁠

⁠How to Run the Application

⁠Steps to Run

1. Pull the Image

   Use the following command to pull the Docker image from Docker Hub:

   docker pull utkarshg1/streamlit-iris:latest
   

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2. Run the Container

   After pulling the image, run the container using this command:

   docker run -p 8501:8501 utkarshg1/streamlit-iris:latest
   

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   This command will start the Streamlit app. You can now access it in your browser at http://localhost:8501.

⁠Stopping the Container

To stop the container, first find the container ID by running:

docker ps

Then stop it with:

docker stop <container-id>

Enjoy predicting Iris species with this application!