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So guys now let's start our project implementation.

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So here you can see I've created one folder called as Long Chain Projects.

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And my plan is to probably create all the projects inside this.

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So the first one is a Q&A chat bot okay we are going to specifically use this.

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Uh let me double click inside this and I need to probably start my project solution from here.

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Right.

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So what I will do I will open my VS code from here.

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I'll copy this path.

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I will open my command prompt okay.

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Okay.

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Now I will go to my specific path.

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That is nothing but e drive.

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Okay?

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And I'll say, hey, uh, CD, go to E drive.

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Then you have this Udemy final.

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Okay.

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So let me just go ahead and write it down.

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Udemy final.

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Okay.

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CD.

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Uh.

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or.

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Udemy.

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Final.

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Okay, I'm going to this part.

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I'll go step by step, see everything.

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I'm not going to hurry burry in this, so please make sure that you follow along with me.

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Okay?

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I'm going to my long chain projects and then finally going to my CD one Q&A chat bot.

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Okay, once I go over here now what I'm actually going to do is that I need to open my VS code from

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here, right?

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See this is the path, right?

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Udemy Final Action Projects one Q and a chat bot.

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So I've just step by step went into that particular folder.

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And I'm going to start my project from here.

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Now in order to start the VS code I'll write code dot and automatically my VS code will get started.

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Right.

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So this is the first step over here.

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What we have basically done.

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Now I will go ahead and implement my project over here initially to start with what we need to do is

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that open my terminal.

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Right.

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So there are multiple ways how you can open a terminal.

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First of all uh, here you can see there is a button called as terminal which you can specifically open

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it.

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Otherwise I usually use a shortcut wherein I press control, um, or just Google.

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Right.

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What is the shortcut to open the terminal?

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Right.

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I'll give you this as an assignment.

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Okay.

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It will be up to you.

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Come on.

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Now you are implementing generative AI solutions.

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So I think you should be able to understand how things work over here.

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Right now.

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Here is my terminal.

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Okay.

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Now the first step what I'm actually going to do I will open command prompt over here.

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You can also go ahead and do it in uh PowerShell.

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So here I'll write on conda create minus p v and v.

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This will be my environment.

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I will go ahead and use Python double equal to 3.10 okay.

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You can use 3.11 also.

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But uh I will go ahead and use 3.10.

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It is up to you whichever Python version you want to run with or you ought to work with.

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Right.

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But I'm going to work all my projects with 3.10 and I.

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The reason is very simple, because I'm going to do some more complex projects in the future, um,

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in this series itself.

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And, uh, there you'll be able to see that, uh, there will be some dependency with this particular

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Python, uh, version.

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Okay.

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So let me just go ahead and do this.

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And here the entire environment will get created quickly once the environment is basically getting created.

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Uh, I will probably start my entire things.

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Okay.

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And then you will also be able to see that once this project is basically getting created, right.

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Uh, we will be seeing that how okay, how we can also make sure that we have to update our requirement

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dot txt.

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So here is my v and v folder that is getting created.

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It may take some time and I will go ahead and write dot e and v.

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And then I'll just go ahead and say requirement dot sorry requirement dot txt.

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So two more files I'm going to create it Okay.

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Please note one thing that I'm not going to repeat this step, uh, step of creating the environments

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again for the other projects, but I hope you should be able to understand till here.

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Now, in requirements.txt, I'm just going to go ahead and update some of the libraries that I'm actually

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going to use.

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Okay.

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Since we are going to work with OpenAI.

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So obviously we need to have Lang in OpenAI.

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So I'll go ahead and copy this.

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okay.

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Along with that I will also be requiring uh, different different libraries like, uh, you know, I

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can actually have want pandas, numpy and all.

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I will also may require that based on this what all things are what are basic libraries are there.

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I'll go ahead and write long chain.

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Then I will go ahead and use python dot env so that I can play with the environment variable.

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Then uh, along with this I will just go ahead and write lang chain.

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Lang chain.

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Underscore community.

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Okay.

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I'm also going to use this.

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Other than that, whatever new libraries that I will be requiring I will try to install it.

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Okay.

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So quickly I will just go ahead over here and go ahead and write pip install minus r requirements.txt.

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Okay.

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So once I do this here all the requirement dot txt will get installed which is good enough.

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And here you'll be able to see that whatever things you really want, you can go ahead and probably

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install as per your, uh, requirements, right?

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Um, so here you can see chrome dev requires uvicorn.

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This this this error is basically coming.

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Did I not activate the environment okay.

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So this is one of the mistake that I have actually done.

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See that this is the problem and many people will also face this.

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So I'm not going to edit this part because we are facing some problem.

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The the reason is very simple.

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I did not activate my V environment.

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So let me just go ahead and activate conda, activate v and v environment.

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Once we activate this here now we can go ahead and write our pip install minus our requirement dot txt.

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Now I don't think so.

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It should give us any errors and automatically the installation of this library should happen.

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Okay.

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And, uh, this is what we are doing to do the first step.

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So Lankan community everything is getting installed whatever things are basically required.

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Okay I just missed one more thing.

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I don't know whether, uh, with respect to Lankan underscore community, whether Lankan underscore

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core will also get installed.

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Okay.

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So that also will try to see we'll try to because this library is also required Lange chain underscore

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core because they are some of the important libraries that we are going to use from this.

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Okay.

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So uh, let's see how much time it will probably take.

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And uh, in the environment variable.

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Now there are some important information that I really need to put up okay.

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So environment variable I will go ahead and use my Lang chain API key okay.

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So I hope everybody knows how to create the Lang chain API key which has been explained already in the

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previous module.

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So I will just go ahead and write my chain API key over here.

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Why I'm not using OpenAI API key?

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Because I'm trying to create a project wherein from the front end, I'll directly try to give the opening

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AI API key.

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Okay, so right now I just require lang chain API key.

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So this is now getting loaded and this is executed.

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Let me do one more thing.

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Let me again go ahead and install this requirement dot txt because I had included one library.

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But I think because of the lang chain underscore community, automatically it made sure that this lang

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chain underscore core will also get installed.

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So this is the first basic steps that we really need to do for each and every project.

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Okay, one more thing I can probably go ahead and do is also make sure that at Streamlit over here,

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because I will be working with Streamlit.

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Okay.

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So Streamlit quickly pip install r requirements.txt and then my streamlit will also get installed.

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It will also take some amount of time because this is the framework that we have basically going to

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use.

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Okay.

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Uh, now in this video what all things we basically did, we set up our environment variable, we set

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up, we created a new environment, we activated the new environment, and we installed all the libraries

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that is required in the requirements.txt.

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Now in the next video, uh, once this installation takes place, we will go ahead and develop our first

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application.

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And here I'm just going to go ahead and write app Dot Pi.

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Okay.

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So perfect.

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Uh till here I think everything looks good.

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And uh, we are good to go with respect to this.

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So let's see you all in the next video where I'll discuss, uh, more things as we go ahead.

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So yes, this was it for my side.

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Thank you.

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I'll see you all in the next video.