An application of Data Engineering tools to collect a stream of audio-text pair of data.
images/
the folder where all snapshot for the project are stored.
notebooks/
the folder which contains code snippets for algorand sdk
.scripts/
: the folder where the python implementation can be found.
frontend/
: the folder where the frontend implementation of the application can be found.
backend/
: the folder where the backend implementation of the application can be found.
.github/
: the folder where github actions and CML workflow is integrated.
requirements.txt
: a text file lsiting the projet's dependancies.setup.py
: a configuration file for installing the scripts as a package.README.md
: Markdown text with a brief explanation of the project and the repository structure.
git clone https://github.com/10AcademyB6Week7/text-to-speech-data-collection.git
cd text-to-speech-data-collection
sudo python3 setup.py install
Make sure you have the following components installed on your local machine.
- Docker
- DockerCompose
- Clone the repo
git clone https://github.com/10AcademyB6Week7/text-to-speech-data-collection.git
Run
sudo python3 setup.py install
Distributed under the MIT License. See LICENSE
for more information.
👤 Natnael Melese
- GitHub: Natnael Melese
- LinkedIn: Natnael Melese
👤 Yishak Tadele
- GitHub: Yishak Tadele
- LinkedIn: Yishak Tadele
👤 Henok Desalegn
- GitHub: Henok Desalegn
- LinkedIn: Henok Desalegn
👤 Gedion Abebe
- GitHub: Gedion Abebe
- LinkedIn: Gedion Abebe
👤 Bekalu Tadele
- GitHub: Bekalu Tadele
- LinkedIn: Bekalu Tadele
👤 Adijat Ojutomori
- GitHub: Adijat Ojutomori
- LinkedIn: Adijat Ojutomori
👤 Birtukan Kuma
- GitHub: Birtukan Kuma
- LinkedIn: Birtukan Kuma
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