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Again.

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Third level two application you are going to learn.

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In this application we are going to load a text file.

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The txt file and we are going to have a summary of the content of this file.

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Okay.

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So as you see this is something you already know how to do because you have learned it in the level

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one applications section.

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But now we are doing it using this user interface.

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Okay.

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So this is the new functionality we are adding.

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Now how to upload a file in Streamlit okay so let's try this.

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We enter the OpenAI API key, and then if we click here, we can load a file, in this case, this file,

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uh, from a AI accelerator, our company that is explaining some text, you know, the different consulting

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services we provide, you know, to, to develop applications for enterprise companies, business,

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etc., etc., and the different services we have.

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Okay.

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So we are loading this text and as you see the application has generated a summary for us.

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So it says AI accelerator provides a variety of services such as artificial intelligence, audit consulting,

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training, blah blah blah blah blah.

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Okay, so you saw the functionality of the application and the new items we have added, uh, from extremely.

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Let's go and see the code you are going to download from our GitHub repository.

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As in the previous applications, we have two main files.

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In the requirements.txt file.

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We have three packages we are familiar with in the main dot pi application.

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You will see that well, you are also familiar with most of the things here.

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Because you have used most of the things here in, uh, your applications, in your level one applications.

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Okay.

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So new things, uh, like before we are importing Streamlit, but the rest of the things are mostly

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familiar to us.

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Okay?

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And remember, you know, that we are using functions in order to encapsulate a long chain logic for

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Streamlit.

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We are using the Streamlit format elements, you know, to create columns, titles, etc., etc. and

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finally we execute the main logic.

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Most of the things are, as you know, uh, familiar, uh, for you, in some cases you can see, you

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know, a new, new things that you can start investigate like this thing, for example, to upload the

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file, etc. you can start investigating these new things in the Streamlit documentation.

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You have any any question you go to ChatGPT for etc. etc. you know the drill, okay.

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And that's the convenient way for you to learn, because this is how we artificial intelligence engineers

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work on a daily basis.

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So this is going to make you more and more as an artificial intelligence engineer.

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You will learn how to solve your daily problems and you will not feel the imposter syndrome.

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You will feel like a real artificial intelligence engineer.

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We don't know everything.

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We need to find answers on a daily basis and this is how we do it.

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Okay, so in case of doubt, you go to the extremely documentation, you go to the W3 Schools.com,

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go to ChatGPT for etc., etc., etc. you know the the ways you have to, uh, go in order to find,

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uh, answers.

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Okay.

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So in this third application you will learn how to, uh, load a file, txt file in this case and create

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a summary about the content.

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Remember practice practice practice, repeat uh, make mistakes, experiment, and only go to the next

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application when you feel comfortable with this one.