How to deploy Gradio application on Server | Render | Gradio | Python

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AI Summary

# Gradio Web UI Deployment on Render - Video Summary  
  
- Introduction to deploying a Gradio web UI on Render.  
- Demonstrates using a demo application from a GitHub repository.  
- Steps taken in Visual Studio Code:  
  - Activated a virtual environment.  
  - Installed dependencies with `requirements.txt`.  
  - Ran the application locally using `uvicorn run:app --reload`.  
  
- Explanation of the demo application:  
  - Gradio interface with text input and output.  
  - Functionality: echoes input text to output.  
  
- Deployment process:  
  - Pushed local application code to GitHub.  
  - Logged into Render and connected GitHub repository.  
  - Created a new web service on Render, selecting the appropriate repository.  
  - Configured the web service with environment variables and start command:  
    - `uvicorn run:app --host 0.0.0.0 --port 5000`.  
  - Selected the free tier and set the Python version environment variable to match local setup.  
  - Initiated the deployment process.  
  
- Post-deployment:  
  - Confirmed the application is live and running on Render.  
  - Tested the deployed Gradio application to ensure functionality.  
  
- Conclusion:  
  - Provided a step-by-step guide on deploying a Gradio application on Render.  
  - Encouraged subscribing to the channel for support.