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Python

To use our example repositories, you must create a Sevalla account. This guide includes examples of how to set up the following Python applications to deploy on Sevalla’s Application Hosting services from a GitHub repository.

Python​

  1. In Sevalla, click Applications > Add application > select Git repository > Public repository, and complete as follows:
  2. Enter a Name, choose a Location, choose a pod size within Resources, and click Create & deploy.

During deployment, Sevalla automatically detects the Start command for the web process from the Procfile in the repository and installs dependencies defined in your requirements.txt file. The app is available as soon as the deployment finishes, and the Sevalla Welcome page loads at your application’s URL.

Sevalla Welcome page after successful deployment of Python.

Sevalla Welcome page after successful deployment of Python.

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Web server setup​

When you deploy an application and include a Procfile in the repository, Sevalla automatically creates a web process based on the Procfile in the root of the repository. Use this command in your Procfile to run your web server:

web: python server.py

Django​

This is an example of how to set up a Django application to deploy on Sevalla’s Application Hosting services from a GitHub repository.

  1. In Sevalla, click Applications > Add application > select Git repository > Public repository, and complete as follows:
  2. Enter a Name, choose a Location, choose a pod size within Resources, and click Create.
  3. Once the application is created, click Environment variables > Add environment variable, in Key 1 enter SECRET_KEY, and in Value 1, add a random string, select Available during runtime and Available during build process and click Save.
  4. Click Deployments > Deploy now > Deploy application.

The python manage.py collectstatic command executes at every build to collect all static files to the directory defined in STATIC_ROOT. During deployment, Sevalla automatically detects the required command from the Procfile in the repository and installs dependencies defined in your requirements.txt file. The app is available as soon as the deployment finishes, and the default Django page confirming successful installation loads at your application’s URL.

Successful installation of Django.

Successful installation of Django.

Prefer to watch the video version?

Environment variables​

The SECRET_KEY should not be stored in your repository but rather set up in an environment variable with a random string.

Web server setup​

Start command​

When you deploy an application and include a Procfile in the repository, Sevalla automatically creates a web process based on the Procfile in the root of the repository. Use this command in your Procfile to run your web server:

web: gunicorn helloworld.wsgi

Flask​

This is an example of how to set up a Flask application to deploy on Sevalla’s Application Hosting services from a GitHub repository.

  1. In Sevalla, click Applications > Add application > select Git repository > Public repository, and complete as follows:
  2. Enter a Name, choose a Location, choose a pod size within Resources, and click Create & deploy.

During deployment, Sevalla automatically detects the Start command for the web process from the Procfile in the repository and installs dependencies defined in your requirements.txt file. The app is available as soon as the deployment finishes, and the Sevalla Welcome page loads at your application’s URL.

Sevalla Welcome page after successful deployment of Flask.

Sevalla Welcome page after successful deployment of Flask.

Prefer to watch the video version?

Web server setup​

Start command​

When you deploy an application and include a Procfile in the repository, Sevalla automatically creates a web process based on the Procfile in the root of the repository. Use this command in your Procfile to run your web server:

web: gunicorn helloworld.wsgi

Langchain with a Dockerfile​

This is an example of how to set up a LangChain application with a Dockerfile to deploy on Sevalla’s Application Hosting services from a GitHub repository.

The LangChain framework is intended to develop language-model-powered applications that are data-aware, agentic (allow a language model to interact with its environment), and differentiated. More information is available on the LangChain website.

info

In this example, we use OpenAI’s models for the sake of simplicity, but you can choose the models you prefer (LangChain supports other models too). If you use different models, we recommend removing the OPENAI_API_KEY environment variable and the relevant application code.

  1. Log in to OpenAI (create an account if you do not already have one). Go to OpenAI API and generate and copy your API key.
  2. In Sevalla, click Applications > Add application > select Git repository > Public repository, and complete as follows:
  3. Enter a Name, choose a Location, choose a pod size within Resources, and click Create & deploy.
  4. Once the application is created, click Environment variables > Add environment variable, in Key 1, enter OPENAI_API_KEY, and in Value 1, paste the API key you copied from Open AI and click Save.
  5. Click Deployments > Deploy now > Deploy application.

During deployment, Sevalla automatically installs dependencies defined in your requirements.txt file. The app is available as soon as the deployment finishes, and the Sevalla Welcome page loads at your application’s URL.

Sevalla Welcome page after successful installation of LangChain.

Sevalla Welcome page after successful installation of LangChain.

Web server setup​

Build environment​

When creating your LangChain application, you must choose Use Dockerfile to set up container image in the Build environment step.

Environment variables​

In Environment variables, in Key 1, enter OPENAI_API_KEY, and in Value 1, paste the API key you copied from Open AI. If you use different models (not OpenAI’s), adjust the key and value as needed.