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--- |
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Model Type: Text to Speech |
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Supported Languages: Assamese, Bengali, Bodo, Gujarati, Hindi, Kannada, Malayalam, Manipuri, Marathi, Odia, Punjabi, Rajasthani, Tamil, Telugu, Urdu |
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--- |
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***Demo: [IITM-TTS Demo](https://iitm-tts.onrender.com) | This may take approximately 30 seconds to load the first time and will go idle after 15 minutes of inactivity.*** |
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# Fastspeech2_HS_Flask_API |
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This repository contains the Flask API implementation of the Text to Speech Model developed by the Speech Lab at IIT Madras. |
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For a comprehensive understanding of the models and inference details, please consult the original repository |
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[Fastspeech2_HS](https://github.com/smtiitm/Fastspeech2_HS). |
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### Table of Contents |
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- [Setup](#setup) |
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- [Installation](#installation) |
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- [Run Flask server](#run-flask-server) |
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- [Citation for the original repo](#citation-for-the-original-repo) |
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### Setup |
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Some of the large files in this repo are uploaded using git lfs. Install latest git LFS by following the given commands: |
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Some of the large files in this repository have been uploaded using Git-LFS. |
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To ensure seamless handling of these files, please install Git-LFS by executing the provided commands: |
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``` |
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curl -s https://packagecloud.io/install/repositories/github/git-lfs/script.python.sh | bash |
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sudo apt-get install git-lfs |
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git lfs install |
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``` |
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The entire repository, including the models, has been uploaded to Hugging Face |
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"[Fastspeech2_HS_Flask_API](https://huggingface.co/k-m-irfan/Fastspeech2_HS_Flask_API)" due to size restrictions on GitHub for Git LFS. |
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To clone the repository from Hugging Face, please use the following command: |
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``` |
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git clone https://huggingface.co/k-m-irfan/Fastspeech2_HS_Flask_API |
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``` |
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Alternatively, you can download the models from the original repository [Fastspeech2_HS](https://github.com/smtiitm/Fastspeech2_HS) |
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and organize the folder structure as specified below. Skip this step if already cloned the repository from Hugging Face. |
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``` |
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models |
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├── hindi |
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│ ├── female |
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│ └── male |
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├── tamil |
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│ ├── female |
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│ └── male |
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. |
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. |
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. |
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└── marathi |
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├── female |
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└── male |
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``` |
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### Installation: |
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Create a virtual environment and activate it: |
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``` |
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python3 -m venv tts-hs-hifigan |
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source tts-hs-hifigan/bin/activate |
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``` |
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Install the required dependencies by running: |
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``` |
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pip install -r requirements.txt |
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``` |
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### Run Flask server: |
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Ensure the server application is running correctly before proceeding. Use the following commands and check for any errors: |
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``` |
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python3 flask_app.py |
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# OR |
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gunicorn -w 2 -b 0.0.0.0:5000 flask_app:app --timeout 600 |
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``` |
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If the application is running without any issues, proceed to start the server using the following command: |
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``` |
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bash start.sh |
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``` |
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### Citation for the original repo |
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If you use this Fastspeech2 Model in your research or work, please consider citing: |
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“ |
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COPYRIGHT |
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2023, Speech Technology Consortium, |
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Bhashini, MeiTY and by Hema A Murthy & S Umesh, |
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DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING |
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and |
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ELECTRICAL ENGINEERING, |
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IIT MADRAS. ALL RIGHTS RESERVED " |
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Shield: [![CC BY 4.0][cc-by-shield]][cc-by] |
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This work is licensed under a |
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[Creative Commons Attribution 4.0 International License][cc-by]. |
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[![CC BY 4.0][cc-by-image]][cc-by] |
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[cc-by]: http://creativecommons.org/licenses/by/4.0/ |
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[cc-by-image]: https://i.creativecommons.org/l/by/4.0/88x31.png |
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[cc-by-shield]: https://img.shields.io/badge/License-CC%20BY%204.0-lightgrey.svg |
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