In this level two application, we you are going to learn how to, uh, build this, uh, a very simple
prototype where we have another rack application.
But in this case we are asking from a CSV file, and instead of asking the user to load the CSV file,
we are going to store the CSV file in our, uh, back end.
Okay.
So this is a CSV file we already know.
Uh, you will find it in the in the GitHub repository.
This is a CSV file with some information about Napoleon Bonaparte, the historic figure.
And once we enter our.
Open AI key, we will be able to enter a question.
In this case, we are going to enter a question that we know, uh, uh, it is included in this CSV
file.
Okay.
So the question would be what was the name of the wife?
Of Napoleon.
Okay.
We press enter and then the application is going to find the answer in the CSV file.
Okay.
Very simple application for a RAC.
Very simple interface for a drag application.
And if you take a look at the code, you will see that apart from the two main files, we now have a
CSV file and a small folder here.
Okay.
If you go to the requirements text, you see that we are using files in this application.
And if you go to the Main.py application file, you will see a code that you are already familiar with.
Because in the level one application block, you have already practiced with most of these.
Okay.
And what you see here, the functions, the Streamlit elements, etc. are also a things that you know.
So download this code, execute this code in your computer, repeat this code yourself.
Uh learn it.
Uh.
Whenever you find a question or a doubt, ask GPT extremely documentation, etc. etc. and experiment.
Change things, break things, make mistakes, learn from it.
And one.
Once you are comfortable with this application and only then you go to the next.