How to Deploy Python code using Streamlit?
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Hi! This should help-
Running the Python code with Streamlit is easy if you know how Streamlit works, as seen below. Today Streamlit is a framework that helps to develop web applications with the usage of machine learning solutions and data science. Here is how you can follow the steps involved in deploying streamlit application ranging from, the actual coding to hosting the application
step 1:Develop Your Streamlit Application
1.1 Install Streamlit
1.2 Write Your Streamlit Script
1.3 Test Locally
step 2:Deploying the Streamlit Application
2.1 Deploying on Streamlit Community Cloud
2.2 Create a New App
2.3 Deploy
step 3:Deploying on Heroku
3.1 Prepare Your Application
3.2 Push to GitHub
3.3 Deploy on Heroku
step 4:Deploying on AWS (Amazon Web Services)
4.1 Launch an EC2 Instance
4.2 Set Up Your Environment
4.3 Run Your Streamlit App
4.4 Configure Security Groups
4.5 Access Your App
step 5:Other Deployment Options
5.1 Deploying with Docker
5.2 Create a
Dockerfileto containerize your Streamlit app5.3 Build and run your Docker container locally, or push it to a container registry and deploy it on a cloud provider that supports Docker
conclusion:Disseminating a Streamlit app is not complicated at all, especially when using Streamlit CC as a base to develop the application.
Deploying Python code using Streamlit can be done in simple terms by following these steps:
1.Install Streamlit: Make sure Streamlit is installed on your local machine or server where you plan to deploy your application. You can install it using pip if you haven’t already.
2.Write Your Streamlit App: Create a Python script (let’s call it
app.py) that contains your Streamlit application code. Here’s a simple example:Save this file in a directory on your local machine.
3.Run Locally: Before deploying, you can run your Streamlit app locally to ensure everything works as expected:
4.Prepare for Deployment:
app.pyfile includes all necessary dependencies and libraries. Streamlit supports various Python libraries, but ensure they are compatible and available in your deployment environment.5.Choose a Deployment Platform:
6.Deploy Using Streamlit Sharing (Optional but recommended for simplicity):
app.pyfile.7.Deploy Using Other Platforms (General steps):
requirements.txtfile that lists all Python packages your app requires.app.py) and necessary files to your cloud platform.8.Access Your Deployed App: Once deployed, you can access your Streamlit app using the provided URL or web address from your chosen deployment platform.
You can refer to the video if you have any doubts.
https://youtu.be/VqgUkExPvLY?si=PH1Mx32lU0yK6buq
Running the Python code with Streamlit is easy if you know how Streamlit works, as seen below. Today Streamlit is a framework that helps to develop web applications with the usage of machine learning solutions and data science. Here is how you can follow the steps involved in deploying streamlit application ranging from, the actual coding to hosting the application
step 1:Develop Your Streamlit Application
1.1 Install Streamlit
1.2 Write Your Streamlit Script
1.3 Test Locally
step 2:Deploying the Streamlit Application
2.1 Deploying on Streamlit Community Cloud
2.2 Create a New App
2.3 Deploy
step 3:Deploying on Heroku
3.1 Prepare Your Application
3.2 Push to GitHub
3.3 Deploy on Heroku
step 4:Deploying on AWS (Amazon Web Services)
4.1 Launch an EC2 Instance
4.2 Set Up Your Environment
4.3 Run Your Streamlit App
4.4 Configure Security Groups
4.5 Access Your App
step 5:Other Deployment Options
5.1 Deploying with Docker
5.2 Create a
Dockerfileto containerize your Streamlit app5.3 Build and run your Docker container locally, or push it to a container registry and deploy it on a cloud provider that supports Docker
conclusion:Disseminating a Streamlit app is not complicated at all, especially when using Streamlit CC as a base to develop the application.