Now, we have installed all the system dependencies that we need.
The next thing we want to do is go and check which tenso floor version we need to install.
Now we're going to go to the Internet, go to the browser.
You can do that from your main machine as well, not necessarily from Raspberry Pi.
And I want you to write denser flow on our GitHub.
So we are going to be seeing this result here.
And this result here is called Tenso Flow On.
And here we can choose the right version.
I want you to go to releases if you cannot find the releases.
Just timed this link right here.
OK, just add releases to it.
All right.
So those are all the available tenso flow versions we have now.
The most stable thing I found so far is the two point to maybe later the others will be stable as well.
But for now, the one I was working on and I'm sure that it's a stable so far is the 2.0 dataflow.
So here's what we need to do now.
As you can see here, if you read about it, we are not using the Python zero.
We are using the PI two and three.
OK, we are using a Raspberry Pi three in our case and we need the S.P. 37.
OK, so we need exactly this one.
All right.
So let us go to these and choose the right one.
We said it's two point two, C.p 37 2.0, S.P. 37, and it's called all versions V seven L.
So it is this one.
OK, now, right.
Click copy, link address.
I want you to open a note, so just go to accessories to the text editor based this.
This is the link that we need.
OK.
All right.
Now I want you to write before that the command w get now what will this do?
Now we have chosen the right then.
So for now we need to install it, but we need to get it from this GitHub.
Now, GitHub is a huge service that is used to store code.
OK, so whenever you have a new code, you can just store it and get help.
And a lot of software, a lot of releases, a lot of open source code exists there.
That sort of flow is for Raspberry Pi is one of them.
So the command you get is going to get whatever file you have in this directory and it will install
it on your machine.
OK, so we're going to copy this.
Go back to the terminal just right click and you'll click on paste, click, enter.
Now, as you can see, we are connecting to that guitar and we are downloading from that guitar.
OK, this is just downloading from guitar, but we are not installing the package yet.
Now, the next step after this is done, we're going to see how we can install it.
And as you can see, we have saved that version here.
OK, so now you can either just copy this, which is the name that we need to install using the pipe,
or you can simply go back to your browser and just copy this name.
It is the same name, but if you cannot find it in the command line, you can go back and copy it from
here.
I'm going to copy it from the command line.
I'm going to right click.
Copy.
So I'm going to say Python three Ducharme Pip install and I'm going to paste this here.
Now I am installing flow to point to.
Never attempt to install any version less than two point two, because Kiraz is built on Denso floor
jumping to and both.
Otherwise, let's say if you install Denso floor 2.0, you try to install Kiraz, it's going to give
you an error that Denso flow is not in the right version.
And here we go.
We have installed Tancer flow.
Now the last step is to install Kiraz.
We don't say Python three a.m. bep install.
Give us.
And we are done, we have installed all the required packages that we need.
Now, how do we check if we installed everything correctly?
What I want you to do is exit this, exit this exit everything, cancel, not save, open the new terminal.
No, the first thing, again, we navigate to our environment.
So we see the desktop, then CD, the El Virtual and now we activate it.
So we say source the el we octal.
Slash, burn, slash diesel.
Slash activist.
We are inside the virtual environment.
Please make sure that we are in there now.
I want to test now.
Are you an open python three, by the way, you can open a python three interpreter just inside you
by typing just Python three.
Now, this is a full interpreter here, so we can just try to import the answer flow.
And next, we can just type denser flow that underscore, underscore, version, underscore, underscore.
And as you can see, it's printing the version of Denso floor, which is Dewpoint 2.0.
But first you need to import and so floor to do that.
Next, let's try to import Kiraz.
Now we're going to type again.
Kiraz that underscore, underscore, version, underscore, underscore, enter.
And this is the correct version.
So we have successfully installed Kiraz in our virtual environment as well as dataflow.
That's amazing.
But however, I'm going to show you something.
We're not going to be writing any Python code inside the terminal.
It's not really effective.
We're going to go here programming go to GenY and let's say we are GenY.
Let's save this file as let's save it here.
A desktop just as it is.
And we are going to call it DL or for deep learning that by now we have it here.
This is my point.
Now let us try to importing Queyras and import Danso flow.
OK, if we click on Build Project.
Build, execute.
As you can see, there is no module called Kiraz.
Well, what's happening?
Well, the reason is this is not connected to our virtual environment that's connected to the general
environment on our Raspberry Pi.
However, we have a virtual environment here, which is called the Alpha RTL, which has all of our
prerequisites, all of our packages, Denso, Flow, Kiraz, everything is inside here.
So how can I link my interpreter here with the virtual environment?
That is the question that we are going to answer in the next lecture.