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prsingh1982 commited on Mar 20

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@@ -17,3 +17,5 @@ Check out the configuration reference at https://huggingface.co/docs/hub/spaces-
 This project demonstrates an end-to-end ML Ops pipeline using GitHub Workflows and Hugging Face Spaces. The application is a Text Summarizer that uses [Gradio](https://www.gradio.app/) APIs. The project demonstrates the various steps from the code being checked-in to GitHub to the application getting hosted and available to the end user. Below is the architecture of the application.
 ![MLOps-GitHub-HF-Architecture](https://github.com/user-attachments/assets/1690736a-4ff8-4447-a0bb-b74674a0b4f6)

 This project demonstrates an end-to-end ML Ops pipeline using GitHub Workflows and Hugging Face Spaces. The application is a Text Summarizer that uses [Gradio](https://www.gradio.app/) APIs. The project demonstrates the various steps from the code being checked-in to GitHub to the application getting hosted and available to the end user. Below is the architecture of the application.
 ![MLOps-GitHub-HF-Architecture](https://github.com/user-attachments/assets/1690736a-4ff8-4447-a0bb-b74674a0b4f6)
+If you want to know more about building AI/ML applications fast using Gradio, DeepLearning.ai has an excellent course - [https://www.deeplearning.ai/short-courses/building-generative-ai-applications-with-gradio/](https://www.deeplearning.ai/short-courses/building-generative-ai-applications-with-gradio/)