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Okay.

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So this is the level two application number five you're going to learn.

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So these are very interesting prototype.

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And what this is doing is it is extracting some information from product reviews.

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So in this case we have said that it is going to extract three, uh, key information from each product

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review the sentiment of the review, how long it took it to deliver and how was its price perceived

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by the user.

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Remember that a this information can only be extracted if it is in the product review.

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So what we have done is we have gone to Amazon.com and we have gone to one particular product.

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This is the last book I, I, I read the book never finished by David Goggins.

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Very interesting book, probably.

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You know, David Goggins is a very interesting guy.

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Uh, that a a well, he was in the, in the Navy Seals and he has an amazing trajectory and background.

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But in this second book, you know, you you find even more interesting adventures of of this person.

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Very interesting.

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So I was my main interest was to copy one of the product reviews that some of the customers have entered

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for this product.

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So I just copy this review and I have paste the review here.

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So now I'm going to.

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Enter a our OpenAI API key here and press enter to apply.

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Once I do this, our application is going to extract the information from this product review.

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If the information is available.

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So the first key information we want is the sentiment.

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So this user has given five stars to this product.

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So obviously this is a positive review.

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And for the only for for for the other two questions we don't have information because the the user

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is not talking about how long it took to deliver the product or how he perceive the price if it was

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expensive or cheap or whatever.

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Okay, so since this information is not there, the application is is saying this is not here, okay.

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No information about this and and no.

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So these are very interesting prototype.

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You don't have to think that.

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These prototypes we are preparing here are just toy prototypes.

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Because a all the sophisticated and complex professional applications start with a very simple prototype

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like this.

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Okay.

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So they focus on the main the core functionality, and they simplify that functionality to the maximum

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level.

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So instead of having a prototype that can handle 1000 product reviews, we initially build just one

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prototype for one product review.

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Because prototypes need to be simple, easy to develop and fast to develop.

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The main purpose of a prototype, as you know, is to get the feedback from the potential user, customer,

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your manager, whatever the important a role, the important function, the purpose of a prototype is

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to get feedback, to understand better what you must do in the next step of the process, which is to

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build a professional application, what we call a level three application.

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Okay, so this prototype is a very interesting prototype.

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It does a very interesting thing.

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And if you take a look at the code you will see that the code is very simple okay.

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So you have just three packages here.

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And the functionality is very easy.

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And you are also familiar with most of it okay.

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So this is long chain functionality with some a a spicy Streamlit functionality attached.

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Okay.

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So nothing new for you here.

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Now download this code, execute it in your computer, play with it and then repeat it line by line,

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writing it yourself.

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And while you are writing, try to experiment.

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Make questions, understand what you are doing and if not, just ask ChatGPT for extremely documentation,

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etc. etc..

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Okay, and once you feel comfortable with this application and only then you go to the next application.