Lukket

Dockers project

Arif will finish two tasks

1) We want to run Blenderbot 3.0 in a docker WITH an api to communicate with both running the docker locally or on the cloud. You need to add the proper model like the equivalent to blinderbot 2.0 Qzoo:blenderbot2/blenderbot2_400M/model (we will help you with the details). You can send it to us as a docker image, we build it on our cloud, and run it locally communicate with it through the api you provide and once all is working properly, this task is tagged as done.

Being able to deliver an executable image for the docker is a plus.

- We want you to video record the process of doing so as we are interested mainly to learn how to do it so we apply it on our servers and tag this task as complete.

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2) build a ready to use docker for SpeechBrain platform, including the models required to make its functions work best. Brainspeech is a developer friendly platform, as long as you know what you are doing.

Here are speechbrain key links (it's for you to check if there is anything else needed):

[login to view URL]

[login to view URL]

[login to view URL]

What we expect:

- Through the docker, we expect all the functions included in the platform to be working properly deployed on the cloud or locally, including the Key features listed in the github link, based on the proper models available (check the links).

- We expect to get a clear path to communicate with each function (Curl, api, etc...). For example, for the STT, we will test it by posting an audio and checking the text we get. For the TTS, we will post a text and get audios with different voice tones (as the platform includes the possibility to choose the voice). etc...

After you are done, we will try it all locally on our device and on the cloud, and if all is good, the project will be tagged as done, then we move with you to another project.

Being able to deliver an executable image for the docker is a plus.

The main functions required (check their details in the above GitHub link):

We start with the main ones:

– Speech recognition, Check this video from where I am sharing it:[login to view URL]

So, basically I will create a desktop exe with a button in it, click it to record, once done speaking, I get back the audio file, the text of it through the STT, with the spoken language info.

– Text to speech:

– Grapheme-to-Phoneme (G2P)

– Translation. I set the language to translate to and get a translation to my input.

Speech recognition captures speech and post it back as an audio file and as a text.

TTS I send text to and it responds with an audio based on the selected voice tone.

G2p

Translation

We want you to video record the process of doing so as we are interested mainly to learn how to do it so we apply it on our servers and tag this task as complete.

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You will deliver the full projects for testing Within the deadline agreed or else we are free to cancel the milestones with immediate effect. After you deliver the two tasks we will test them within 48 hours and if all is good we release the milestones.

Milestones will be released only if ALL the requirements are fulfilled and on time. Partly-done equals not done.

Best luck!

Færdigheder: Linux, Python, Docker, Pytorch, Server

Om klienten:
( 1 bedømmelse ) Älta, Sweden

Projekt ID: #34336549

3 freelancere byder i gennemsnit $167 timen for dette job

Alihassann00

Here is a Telecommunication Engr will provide you a 100% satisfactory work. I have already worked on a lot of projects/Apps relating PYTHON, PANDAS, DJANGO, PYSPARK, NUMPY, PYTORCH, TENSOR FLOW, THEANO, APACHE SPARK, P Flere

$300 USD in 5 dage
(1 bedømmelse)
3.0
MRARIFAKRAM

My Name is Muhammad Arif, I am linux Expert, I will fix every type linux issue, or Any Service, open source Application on Linux, I Have knowledge About Ubuntu, Centos, Debian, Kali linux, Windows Server etc, I will fi Flere

$100 USD in 2 dage
(4 bedømmelser)
2.8
Malkoil

Our lil company get you best and fast result I hope you choose us to solve your problem!

$100 USD in 7 dage
(0 bedømmelser)
0.0