StatisticalAnalyser

This project is a Streamlit-based statistical analysis tool. It is fully containerized using Docker for easy deployment and reproducibility.

Project Structure

• Multiple Python files (main entry: frontend.py)
• Uses a .env file for API keys and secrets (not included in the Docker image)

Prerequisites

• Docker installed on your system
• .env file with required environment variables (API keys, etc.) in the project directory

Building the Docker Image

Open a terminal in the StatisticalAnalyser directory and run:

docker build -t statistical-analyser .

Running the Application

To run the app and make your .env variables available inside the container:

docker run -it --rm -p 8501:8501 --env-file .env statistical-analyser

• The app will be available at http://localhost:8501
• Do not use 0.0.0.0 in your browser; use localhost or 127.0.0.1

.env File

• The .env file should be in the same directory as your Docker commands.
• It is ignored by Docker (see .dockerignore), so secrets are not included in the image.
• Example .env:

  API_KEY=your_api_key_here
  ANOTHER_SECRET=your_secret_here

Notes

• All Python files in the directory are copied into the container, so imports between them will work.
• If you add new dependencies, update requirements.txt and rebuild the image.

Troubleshooting

• If you see URL: http://0.0.0.0:8501 in the logs, open http://localhost:8501 in your browser.
• If you get errors about missing environment variables, check your .env file and that you are using --env-file .env.

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For further help, contact the project maintainer.