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Gradio-Streamlit-on-Ubuntu20.04

Apps4Rent LLC

Gradio-Streamlit-on-Ubuntu20.04

Apps4Rent LLC

Gradio and Streamlit is an open-source Python library that makes it easy to create interactive web apps for machine learning and data science.

Gradio is an open-source Python library that lets you build user interfaces for your machine learning models, APIs, or even any Python function with incredible ease. Think of it as a bridge between your code and the outside world, turning them into interactive demos or web applications.

Streamlit is a popular choice for data scientists and engineers because it is easy to learn and use, and it can be used to create beautiful and engaging apps without any prior knowledge of web development.

Streamlit is also a dynamically typed language, which means that the types of variables and expressions are not checked at compile time. This makes Streamlit a very flexible language, but it can also make it more difficult to debug.

This image is pre-configured with Gradio and Streamlit software you need to get started with data science, AI-ML on Azure. You can simply create a new Azure VM using this image from the azure marketplace.

To verify that Gradio and Streamlit has been installed correctly, follow the below steps: become a "super user", and change the directory path to "/root".

To become a "super user": sudo su

To change the directory path to "/root": cd /root/

Gradio is installed in the virtual environment(virtual_env)

To activate the virtual environment "virtual_env": source virtual_env/bin/activate

To check the installed version of Gradio: pip show gradio

To check the installed version of Streamlit: pip show streamlit

Open a Python shell by typing python3. Once the Python shell is open, type the following commands to verify the gradio installation: import gradio and type the following commands to verify the streamlit installation: import streamlit

To come out of the virtual environment: deactivate

Get Started with this Gradio and Streamlit solution installed on Ubuntu20.04

This image provides a consistent environment across different Azure compute resources. This makes it easy to develop and deploy machine learning and data science applications offered by Apps4Rent takes away all the complexities in integration to Azure. All you need to do is just download the custom-built image and you are ready to go.

Easy Installation for software and Support by Azure Experts

 We at Apps4Rent helps you deploy Gradio and Streamlit across different OSes on Azure. Tested and supported by the Apps4rent engineers, by Azure cloud infrastructure precisely. In case you have any issues, our Azure experts are available 24/7 via phone, chat, and email. Get in touch today!

Disclaimer: Apps4Rent does not offer commercial licenses of any of the products mentioned above. The products come with open source licenses.

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22

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