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How to Deploy Python code using Streamlit?
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 appRead more
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.
See lessHow to Deploy Python code using Streamlit?
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 appRead more
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.
See less