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TTS_English_Technical_data

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hop on to my Windows machine here's just a brief introduction about what is Cuda
lines 36 until 48 will be the function or custom function for generating the
TTS and the command line argument list models this this might take a few
second question is what is trimlet and let's ask it a third question what
alright and here comes the fun part the generation of the LOM model response so
the next video is that I'll also try to include some amazing prompt templates
uh the shortest distance in the graph or the minimum cost path path in the graph
going to use streamlet okay in streamlet you have uh session management through
server and just run TTS same model name
we have all the URI um requirements and we're using p to
about forthcoming here to use the API token in their calculation right so
I will copy something like this okay and I'll paste it over here so
have more customization then the pro version might also work for you but the
upload this but we need a mongod DB URI and I'm just going to use the same
which is "restful raspberry", and in response we see ... yep, this new ID of "2" was created,
but, basically, it's a standardized software architecture style, a specific type of API that's industry known and used.
you want so what I will uh do is that we will also create a session key and here
test so now kts will synthesize this is a test phrase save it to out waveform
create detailed images of your brain while it's  still working fmri technology is quite useful for the medical applications but not so useful for  the Mind uploading and the reason for this is
Transformer it it is a Muslim is a auto aggressive model so it can actually
So, we want to create a new flavor. How do we do that with the REST API?
trending audios transcription okay you get me right
and there we go they are out of the questions that we've just asked the
step we have specific specifically done this now let's go ahead and Define our
the chatbot type in a question and the response is being generated you
Starting out with: what does "REST" stand for? So, REST stands for Representational State Transfer.
bye-bye a few days ago meta AI introduced their
human asks a question first of all it needs to get appended inside this and
or with some values I can also write one condition outside
for different tasks and the benefit of the T5 is that for different tasks they
um to me if there's no speech for training how do
So, this is a special part of an REST API request which might have things like an API key or some authentication data.
and how many threads per block are used to run this code in parallel and that's
so the question is is the joint returning really working or it's just
probably write page title is equal to conversational
human being ask any question it is going to get appended in the form of human
questions did I asked
gave us instructions that we also had to get our connection URI and our open AI
face-to-face discussion of those papers people like to ask questions right this
misused if it is not set up up in the right way  if there isn't regulation if there isn't oversight if there are no security measures put in place  then you're going to see people abusing it one way
right with this particular variable now before I set this particular uh variable
supported later on for K TTS uh for our comparison so I will use this python
on the GPU you then copy some data from your main Ram over to the gpu's memory
are torch is installed in version 2 2.3.1 uh without any indicator on Cuda
attention so if you are watching this video right now chat GPT seems to be
should see that the GPU is now used too so let's keep an eye on
um but the companies that do exist that actually  work on it so very very fresh very young is our own company NeXT up neuro we want to solve  the problem of going from data to a model
not use several voice encoder for for a model I will just use the default linked
You may have heard of "CRUD" - what does CRUD stand for? So, CRUD is "Create, Read, Update, and Delete".
streamlet UI okay now in this streamlet UI let's
managed to replicate me my brain one-to-one  digitalia the next question is will it be conscious or not if we replicated all the  cognitive capabilities of my brain in there
like the video give it a thumbs up uh if you haven't already subscribed to my
that's a huge Improvement so if you know your graphic card is supported and you
function for the CPU that runs the Cuda kernel we use a for Loop to initialize
Google translate so this is my beautiful spreadsheet and there
description this is a three or fully connected layers
middle of whatever um but nevertheless we have this demo phrase here and uh
bring in this loader and we'll bring it in from the document loader which should
ASR uh they have achieved lower than two
you can grow your skills and earn a badge with IBM Cloud labs, which are free browser-based interactive Kubernetes labs.
llama to open source large language model and the great thing is that is
pytorch uh I've chosen to use the stable release which is version
because I haven't read the paper in in Greek details
people may argue that you don't have the you don't have the transcription or if
subscribe to my channel if you like my content in general share my Channel with
with your back Hubert or webm they learn speech representations from a bunch of
parallel the code is executed in a block which itself organizes threads into a
can benefit from this and today or last year those researchers they
screen the thing that we probably discussed in our previous session in the
some error rerun input ask the question so here we have not got any error
using the speech decoder this time as your
management and now we won't install P torch with a default torch package but
little bit of CPU time to load the actual model before the text to speech
and, in response, you'll get an array of those flavor resources, right? So, we see strawberries in stock, as well as mint chocolate ... yummy!
in only a few lines of code as shown here so all of the links are in the
good so we have metadata alongside the embedding so the data injection into a
the the intelligence against the cost we can see that sunet is a significant
that's kind of what we just talked about here with the HTTP methods, you might have an endpoint,
free for research and Commercial usage so in this video I'm going to show you
faster and let's again do another test just to see if there's no caching or
endend project with the help of langin and we'll also be doing the deployment
available TTS and voice encoder model so let's choose the English LJ speech based
don't have to pay for the usage but then after a certain amount of time you will
what if there is a complete the different way  to do that what if there is a shortcut what if even without complete understanding of the brain  a neural network can learn to emulate it meaning
are going to build a conversational QA chatbot Q&A chatbot right that basically
chat history function if we click on it let's see what happens so the messages
so we're still stuck on this line 25 let's keep going we've not changed too
the author's original words they Define a way of training a joint
document is about a significant advance in understanding the inner workings of
go to the Cuda download page and you have to choose your operating system but
seconds and we'll print out a simple list and here we are so we have a list
and once we get the answer this is is nothing but the AI message this is also
one encoder input only at the same as one
joined pre-training so they propose a cross model
comparison I will do one python virtual environment
here you're iterating through the object and then you're creating firstly a empty
ki's own TTS server so for that I've um let's go back to our command
at the speech text encoder output it's an embedding right
Right? So, pretty straightforward there. "Flavors" is actually what's known as a "resource".
so basically what T5 would be doing is just regardless what the task is