KO
|
EN
gitlite — search
Search
#typescript
#ai-agents
#ai
#dsh-plugin
#deepseek-harness
#open-source
#cli
#claude-code
#codex
#developer-tools
#react
#windows
sanskrit_tts
★ 38
Open GitHub ↗
Sanskrit text to speech
Download README (.md)
Explore Similar Repositories
SketchGNN
:
SketchGNN
reacttodo
:
No description available.
Gcx
:
A tool to decompile GCX bytecode from Metal Gear Solid games to the original GCL script
usbip-gui
:
An attempt at wrapping the usbip linux kernel module with a gui for easier uasability/configurability
basic-redis-chat-demo-go
:
A Basic redis chat demo app written in Go language
// repository documentation
Was this content helpful?
★ 0
(0 ratings)
Select Rating:
★
★
★
★
★
Submit Feedback
Recent Feedback
×
Download README
Do you want to download the
README.md
file for
sanskrit_tts
?
Download (.md)
# sanskrit_tts A simple python library for converting Sanskrit Text-to-Speech (TTS). The supported TTS engines are: 1. [Google Cloud TTS](https://cloud.google.com/text-to-speech/) 2. [Bhashini AI TTS](https://tts.bhashini.ai/) Both of these API options require authentication, in the form of Google cloud credentials, or Bhashini API key. The developers of Bhashini have generously provided an API key for non-commercial, limited usage of the API for creating audio of Sanskrit texts. This can be used via the bhashini proxy (see [Usage](#usage) below). Please note that the Bhashini proxy (the default option) should not be used for other purposes. ## Installation This package uses `pydub` for managing audio data, which in turn requires `ffmpeg` or `libav`. Please check the details (here)[https://github.com/jiaaro/pydub#dependencies]. This package should work with any version of python >= 3.8. ```bash pip install sanskrit_tts ``` To install from the master branch of the git repo: ```bash pip install git+https://github.com/avinashvarna/sanskrit_tts.git ``` For an editable installation (to modify the code and experiment) ```bash git clone https://github.com/avinashvarna/sanskrit_tts.git cd sanskrit_tts pip install -e . ``` ## Usage All TTS classes expose the same interface, so that switching should be fairly easy. ### Default - Bhashini proxy with embedded API key ```python from sanskrit_tts import default_tts text = "तैत्तिरीयोपनिषत् प्रसिद्धासु दशसु उपनिषत्सु अन्यतमा ।" TTS = default_tts() audio = TTS.synthesize(text) # Export the audio as an MP3 audio.export("sanskrit_speech.mp3") ``` ### Bhashini API with key ```python from sanskrit_tts.bhashini_tts import BhashiniTTS text = "तैत्तिरीयोपनिषत् प्रसिद्धासु दशसु उपनिषत्सु अन्यतमा ।" api_key = ... TTS = BhashiniTTS(api_key=api_key) audio = TTS.synthesize(text) # Export the audio as an MP3 audio.export("sanskrit_speech.mp3") ``` ### Google Cloud Requires credentials, e.g. from a (service account)[https://cloud.google.com/iam/docs/creating-managing-service-accounts]. ```python import os from sanskrit_tts.gcloud_tts import GCloudTTS # Setup credentials os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = './credentials.json' text = "तैत्तिरीयोपनिषत् प्रसिद्धासु दशसु उपनिषत्सु अन्यतमा ।" TTS = GCloudTTS() audio = TTS.synthesize(text) # Export the audio as an MP3 audio.export("sanskrit_speech.mp3") ``` ## How it works Both Google Cloud TTS and Bhashini Text-to-Speech do not support Sanskrit yet. As a workaround, this library uses other languages for speech to text conversion. Kannada is used by default for this workaround. Any other language/voice supported by the corresponding TTS API can be used by changing the appropriate parameters while instantiating the TTS class, and the results will vary. A complete list of voices supported by Google Cloud TTS is available [here](https://cloud.google.com/text-to-speech/docs/voices). For Bhashini, please check the (demo)[https://tts.bhashini.ai/demo/].
