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Text2Speech service with predictive, dynamic load balancing

Python 68.80% Shell 8.01% CSS 5.02% JavaScript 9.58% HTML 4.60% Dockerfile 3.99%
load-balancer text2speech

text2speechservice's Introduction

Shaik Aftaab Zia

Backend developer skilled primarily in NodeJs, Python and Java. Also experienced in Machine learning and NLP.

Connect with me here

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text2speechservice's People

Contributors

aftaab99 avatar varundevadiga avatar vikastshankar avatar

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text2speechservice's Issues

Add pretrained Text2Speech model

We'll be using a pretrained model called FastText for speech synthesizing.

To be done

  1. Activate the worker env, install all dependencies mentioned in the docs and run pip freeze > requirements.txt.
  2. For now write a function that takes a string and saves a wav file for the sythesized speech. Instructions to do this are in the docs.
  3. Write a flask POST end-point that receives a string, runs the function to generate the audio file(for this instead of storing to disk save to a StringIO buffer) then send it back as response. Check this on how to send a audio file as response.

Once your done send a pull-request.

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