Write python streamlit application to use Terraform, Github Actions, Azure Container Registry and Github to set up a new streamlit app on azure.
To create a Streamlit application using Terraform, Github Actions, Azure Container Registry, and Github, you will need to follow these steps:

Create a new Streamlit application.
Push the application to a Github repository.
Configure the Azure Container Registry.
Set up a Github Actions workflow to build and push the Docker image to the Azure Container Registry.
Use Terraform to create an Azure Kubernetes Service (AKS) cluster and deploy the Streamlit app on it.
Here's an example implementation of these steps:

Create a new Streamlit app:
python
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# app.py
import streamlit as st

st.title("Hello, Streamlit!")
st.write("This is a simple Streamlit app deployed on Azure.")
Create a Dockerfile to containerize the app:
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# Dockerfile
FROM python:3.8-slim

WORKDIR /app

COPY requirements.txt .
RUN pip install -r requirements.txt

COPY . .

CMD ["streamlit", "run", "app.py"]
Add a requirements.txt file with the necessary dependencies:
makefile
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streamlit==1.1.0
Push the application to a new Github repository.

Configure the Azure Container Registry:

Log in to the Azure Portal.
Create a new Azure Container Registry.
Copy the registry's login server name for later use.
Set up a Github Actions workflow to build and push the Docker image to the Azure Container Registry:
yaml
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# .github/workflows/main.yml
name: CI/CD

on:
  push:
    branches:
      - main

jobs:
  build-and-push:
    runs-on: ubuntu-latest

    steps:
    - name: Checkout code
      uses: actions/checkout@v2

    - name: Set up QEMU
      uses: docker/setup-qemu-action@v1

    - name: Set up Docker Buildx
      uses: docker/setup-buildx-action@v1

    - name: Login to Azure Container Registry
      run: echo ${{ secrets.ACR_PASSWORD }} | docker login ${{ secrets.ACR_REGISTRY }} -u ${{ secrets.ACR_USERNAME }} --password-stdin

    - name: Build and push
      uses: docker/build-push-action@v2
      with:
        context: .
        push: true
        tags: ${{ secrets.ACR_REGISTRY }}/streamlit-app:latest
Add the necessary secrets to your Github repository:
ACR_REGISTRY: The login server name of your Azure Container Registry.
ACR_USERNAME: The username for your Azure Container Registry.
ACR_PASSWORD: The password for your Azure Container Registry.
Create Terraform configuration files to set up the Azure Kubernetes Service (AKS) cluster and deploy the Streamlit app:
main.tf: This file will contain the main Terraform configuration.
variables.tf: This file will contain the Terraform variables.
outputs.tf: This file will contain the Terraform outputs.
hcl
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# main.tf
provider "azurerm" {
  features {}
}

resource "azurerm_resource_group" "aks" {
  name     = "streamlit-aks-rg"
  location = "East US"
}

resource "azurerm_kubernetes_cluster" "aks" {
  name                = "streamlit-aks"
  location            = azurerm_resource_group.aks.location
  resource_group_name = azurerm_resource_group.aks.name
  dns_prefix          = "streamlit-aks"

  default_node_pool {
    name       = "default"
    node_count = 

3
vm_size = "Standard_DS2_v2"
}

identity {
type = "SystemAssigned"
}
}

resource "azurerm_kubernetes_cluster_node_pool" "streamlit" {
name = "streamlit"
kubernetes_cluster_id = azurerm_kubernetes_cluster.aks.id
vm_size = "Standard_DS2_v2"
node_count = 1
}

provider "kubernetes" {
host = azurerm_kubernetes_cluster.aks.kube_config.0.host
client_certificate = base64decode(azurerm_kubernetes_cluster.aks.kube_config.0.client_certificate)
client_key = base64decode(azurerm_kubernetes_cluster.aks.kube_config.0.client_key)
cluster_ca_certificate = base64decode(azurerm_kubernetes_cluster.aks.kube_config.0.cluster_ca_certificate)
}

resource "kubernetes_namespace" "streamlit" {
metadata {
name = "streamlit"
}
}

resource "kubernetes_deployment" "streamlit" {
metadata {
name = "streamlit"
namespace = kubernetes_namespace.streamlit.metadata.0.name
}

spec {
replicas = 1

selector {
  match_labels = {
    app = "streamlit"
  }
}

template {
  metadata {
    labels = {
      app = "streamlit"
    }
  }

  spec {
    container {
      name  = "streamlit"
      image = "${var.acr_login_server}/streamlit-app:latest"

      resources {
        limits {
          cpu    = "1"
          memory = "1Gi"
        }

        requests {
          cpu    = "500m"
          memory = "500Mi"
        }
      }

      port {
        container_port = 8501
      }
    }
  }
}
}
}

resource "kubernetes_service" "streamlit" {
metadata {
name = "streamlit"
namespace = kubernetes_namespace.streamlit.metadata.0.name
}

spec {
selector = {
app = "streamlit"
}

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port {
  port        = 80
  target_port = 8501
}

type = "LoadBalancer"
}
}

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```hcl
# variables.tf
variable "acr_login_server" {
  description = "The Azure Container Registry login server"
  type        = string
}
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# outputs.tf
output "streamlit_url" {
  value       = "http://${kubernetes_service.streamlit.status.0.load_balancer.0.ingress.0.ip}"
  description = "Streamlit app public URL"
}
Initialize Terraform and apply the configuration:
sh
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$ terraform init
$ terraform apply -var "acr_login_server=<your_acr_login_server>"
Replace <your_acr_login_server> with the login server name of your Azure Container Registry.

Access the Streamlit app using the public URL displayed in the Terraform output.
Please note that this is an example implementation and you may need to adjust the configurations according to your specific requirements and environment.