课程: Creating Advanced AI Applications with Python, APIs, and GitHub Models

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Deploy the app to production

Deploy the app to production

课程: Creating Advanced AI Applications with Python, APIs, and GitHub Models

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Deploy the app to production

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- [Instructor] Now, in the previous solution video, we completed our working app. Pause the video here and take a few minutes to try it out. Now remember, this is a multilingual app, so if you speak another language, try using it with the app. Now, once you're done, I'm guessing at this point, you want to share your app with the world. So let's find out how to move our Streamlit app to production. So let's go ahead and ask our model, how can we move this Streamlit app to production? So let's take a quick look at the suggestions from our model. So it looks like there are a couple of different hosting platforms and there's a Streamlit sharing option. So make sure your app is in GitHub repository, go to Streamlit sharing, sign up and sign in. So let's go ahead and click this link. And it looks like there's a streamlit.io/cloud that will allow me to deploy my app and then I can go ahead and create a new app and then deploy. Okay, excellent. Now, to move this app to production, we could…

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