Deploy your Streamlit app using GitLab and Azure App Service

Here's a step-by-step guide to deploy your Streamlit app using GitLab and Azure App Service:

---

Step 1: Prepare Your Streamlit App

Ensure your project has the following structure:

bash
my_streamlit_app/
│
├── app.py  # Your main Streamlit script
├── requirements.txt  # List of required Python packages
└── .gitlab-ci.yml  # GitLab CI/CD pipeline config (will create below)

---

Step 2: Create requirements.txt

List all the required libraries, including Streamlit:

txt
streamlit
pandas
scikit-learn
# Add other dependencies

You can create it with:

bash
pip freeze > requirements.txt

---

Step 3: Create .gitlab-ci.yml

This config file defines how GitLab will deploy your app:

yaml
image: python:3.9

stages:
  - deploy

deploy_to_azure:
  stage: deploy
  script:
    - pip install -r requirements.txt
    - echo "Deploying to Azure..."
    - az login --service-principal -u $AZURE_USERNAME -p $AZURE_PASSWORD --tenant $AZURE_TENANT
    - az webapp up --name $AZURE_APP_NAME --resource-group $AZURE_RESOURCE_GROUP --location $AZURE_LOCATION --sku F1
  only:
    - main

Replace variables like $AZURE_USERNAME, $AZURE_APP_NAME with actual values or define them as GitLab CI/CD secrets.

---

Step 4: Push Your Code to GitLab

Commit and push the project to your GitLab repository:

bash
git init
git add .
git commit -m "Initial commit"
git remote add origin <your-gitlab-repo-url>
git push -u origin main

---

Step 5: Set Up Secrets in GitLab

Go to your GitLab repo → Settings → CI/CD → Variables, and add the following:

• AZURE_USERNAME

• AZURE_PASSWORD

• AZURE_TENANT

• AZURE_APP_NAME

• AZURE_RESOURCE_GROUP

• AZURE_LOCATION

---

Step 6: Configure Azure App Service

1. Go to Azure Portal

2. Create a Web App resource.

3. Select a runtime (Python 3.9).

4. Choose deployment via GitHub or External CI/CD if asked.

5. Add a startup command in configuration:

   arduino
   streamlit run app.py --server.port 8000 --server.enableCORS false
   

---

Step 7: Trigger the CI/CD Pipeline

Once pushed, GitLab will automatically run the pipeline and deploy your app to Azure.