This repository contains the code for a Streamlit-based portfolio application, which has been dockerized and is deployed on Render using GitHub Actions. The project showcases how to build, containerize, and deploy a Streamlit application seamlessly using Docker and automated CI/CD pipelines.
To run the Streamlit application locally, use the following command:
streamlit run app.pyThis command will start the Streamlit server and open your application in a web browser.
Before building the Docker image, you need to log in to Docker Hub. Replace <username> with your Docker Hub username:
docker login -u <username>Build the Docker image using the Dockerfile in the root of the repository. Replace <username> with your Docker Hub username:
docker build -t <username>/streamlit-portfolio:v1 .This command will create a Docker image tagged with v1.
List all Docker images on your local machine to ensure that the build was successful:
docker imagesRun the Docker container using the image you built. This command will map port 8051 on your local machine to port 8051 in the container. Replace <username> with your Docker Hub username:
docker run -d --name portfolio -p 8051:8051 <username>/streamlit-portfolio:v1The application should now be accessible at http://localhost:8051.
Finally, push the Docker image to Docker Hub to make it available for deployment. Replace <username> with your Docker Hub username:
docker push <username>/streamlit-portfolio:v1The Docker image can be deployed to various platforms, such as Render, AWS, or any other cloud provider that supports Docker containers.
Contributions are welcome! If you have suggestions, bug reports, or want to add new features, feel free to submit a pull request.
Feel free to explore, contribute, and adapt this project to suit your needs. If you encounter any issues or have suggestions for improvement, please raise them in the GitHub repository's issues section. Happy coding! 🚀
Connect with me on linkedin: Raghul M