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Collins Dada edited this page Apr 19, 2025 · 1 revision

Deployment Options

This section outlines the different ways you can deploy Expense Tracker either locally for personal use or on the cloud for wider access.

1. Local Deployment

For a fast, private, and simple setup, you can run Expense Tracker directly on your local machine. Here’s how you can deploy it locally:

Requirements:

  • Python 3.6 or higher
  • Streamlit
  • Pandas
  • Matplotlib
  • Plotly

Setup Instructions:

  1. Clone the repository:

    git clone https://github.com/your-username/Expense-Tracker.git
cd Expense-Tracker

  2. Install dependencies:

    pip install -r requirements.txt

  3. Run the app:

    streamlit run app.py

Now, you can access the app locally at http://localhost:8501.

2. Cloud Deployment

For users looking to access Expense Tracker from any device, deploying the app to the cloud is the best option. Below are some popular cloud platforms where you can deploy your app:

1. Heroku Deployment

  • Heroku is a great option for small apps, and it integrates well with Streamlit.
  • Steps:
    • Install Heroku CLI
    • Log in to your Heroku account
    • Create a new app on Heroku
    • Push the code to Heroku using Git
    • Your app will be live on a Heroku subdomain.

For more details on deploying to Heroku, refer to [Heroku Deployment Docs](https://devcenter.heroku.com/articles/git).

2. Render Deployment

  • Render is another popular choice for deploying Streamlit apps.
  • Steps:
    • Sign up for a free Render account
    • Create a new web service and connect it to your GitHub repository
    • Render will automatically deploy your app and provide a public URL.

For more details, refer to [Render Deployment Docs](https://render.com/docs).

3. AWS EC2 / Lambda

  • Amazon Web Services (AWS) provides robust cloud infrastructure for deploying apps.
  • EC2 is a good option if you need full control over the environment.
  • Lambda is ideal for serverless deployments.
  • Set up an EC2 instance or Lambda function, deploy the app, and make it publicly accessible via an Elastic IP or API Gateway.

For detailed steps, refer to [AWS Deployment Docs](https://aws.amazon.com/documentation/).

4. Google Cloud Platform (GCP)

  • GCP offers flexible cloud hosting, and deploying a Streamlit app on GCP App Engine or Compute Engine is easy.
  • Create an App Engine or Compute Engine instance, configure the environment, and deploy the app.

For more info, check [GCP Deployment Docs](https://cloud.google.com/docs).

3. Docker Deployment (For Advanced Users)

  • Docker allows you to containerize the app for easy deployment anywhere.

  • To run the app in a Docker container, follow these steps:

    1. Create a Dockerfile in the root of your project:

      FROM python:3.8-slim
WORKDIR /app
COPY . .
RUN pip install -r requirements.txt
CMD ["streamlit", "run", "app.py"]

    2. Build the Docker image:

      docker build -t expense-tracker .

    3. Run the Docker container:

      docker run -p 8501:8501 expense-tracker

    The app will be accessible at http://localhost:8501.

Please Note:

Whether you choose to run the app locally for personal use or deploy it to the cloud for access anywhere, Expense Tracker is designed for flexibility. You can easily choose the deployment method that best fits your needs and enjoy full control over your personal finance tracking.

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