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In this level two application, we you are going to learn how to, uh, build this, uh, a very simple

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prototype where we have another rack application.

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But in this case we are asking from a CSV file, and instead of asking the user to load the CSV file,

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we are going to store the CSV file in our, uh, back end.

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Okay.

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So this is a CSV file we already know.

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Uh, you will find it in the in the GitHub repository.

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This is a CSV file with some information about Napoleon Bonaparte, the historic figure.

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And once we enter our.

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Open AI key, we will be able to enter a question.

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In this case, we are going to enter a question that we know, uh, uh, it is included in this CSV

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file.

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Okay.

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So the question would be what was the name of the wife?

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Of Napoleon.

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Okay.

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We press enter and then the application is going to find the answer in the CSV file.

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Okay.

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Very simple application for a RAC.

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Very simple interface for a drag application.

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And if you take a look at the code, you will see that apart from the two main files, we now have a

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CSV file and a small folder here.

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Okay.

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If you go to the requirements text, you see that we are using files in this application.

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And if you go to the Main.py application file, you will see a code that you are already familiar with.

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Because in the level one application block, you have already practiced with most of these.

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Okay.

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And what you see here, the functions, the Streamlit elements, etc. are also a things that you know.

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So download this code, execute this code in your computer, repeat this code yourself.

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Uh learn it.

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Uh.

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Whenever you find a question or a doubt, ask GPT extremely documentation, etc. etc. and experiment.

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Change things, break things, make mistakes, learn from it.

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And one.

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Once you are comfortable with this application and only then you go to the next.