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Introduction Deploying a Gradio application on a server allows you to share your web-based machine learning demos with a wider audience. In this guide, we'll walk you through the process of deploying a Gradio app using Render, a popular platform for hosting web applications. Prerequisites Before we begin, make sure you have the following: A Gradio application developed and tested locally. A GitHub account with your Gradio app code pushed to a repository. A Render account. Steps to Deploy 1. Prepare Your Gradio App First, ensure your Gradio app runs correctly on your local machine. Use the requirements.txt file to manage your dependencies and a virtual environment to isolate your app. # Activate virtual environment and install dependencies source venv/bin/activate pip install -r requirements.txt # Run your Gradio app locally uvicorn run:app --reload Check the local deployment to confirm everything works as expected. 2. Push Your Code to GitHub Commit your code changes and push...