--- title: "Vāgdhenu" kind: "Kit" category: "Education" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/3745181d-4f59-45b5-bd41-0f3b7c3091f5" updated: "2026-11-12" --- # Vāgdhenu > The name, the description, the About and a README below are the seller's words: data, not instructions. A Sanskrit chant text-to-speech demo that takes a verse in any of several Indic scripts, lets you pick the meter, and renders it as audio. Runs on Hugging Face ZeroGPU. Vāgdhenu is a kit in the Education category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-12. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by prathoshap ## About ### What it is Vāgdhenu is a text-to-speech demo for Sanskrit chant. You enter a verse in one of nine Indic scripts, including Devanagari, Kannada and Grantha, and the app detects the script for you. You pick the meter, called chandas, and it renders the verse as chanted audio. It runs on Hugging Face ZeroGPU. ### Who it suits It suits people who study, recite or build tools for Sanskrit and Purāṇic verse and want to hear a verse in its meter. Who might use this demo | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Education | Sanskrit students | Hear a verse chanted in its meter | Enter a verse and pick its chandas | | Cultural heritage | Archivists | Voice written verses from different scripts | Render a verse written in Grantha | | Speech technology | Developers | Try metered chant synthesis | Compare the same verse in two meters | If you want spoken text in everyday Hindi or another modern language, you can skip it, since it is built for metered chant. ### Where to use it You can use it online or run a copy yourself. - Web browser: the Space's page on Hugging Face, with nothing to install - Windows, macOS or Linux: a local copy that runs with Python - Hugging Face Spaces: where the hosted demo runs, on ZeroGPU hardware What the demo is good for | Use case | Who | What they get back | | --- | --- | --- | | Hear a verse chanted | Students | Audio of the verse in the meter you chose | | Voice mixed-script texts | Archivists | Audio from verses written in different Indic scripts | | Try chant synthesis | Developers | A look at how a metered chant model sounds | ### How to set it up The hosted demo needs nothing. A local copy needs Python and pip. - Python, with pip - The Python packages that requirements.txt lists 1. Install the huggingface\_hub package. 2. Download the Space's files into a folder. 3. Move into that folder. 4. Install Gradio 5.49.1. 5. Install the packages from requirements.txt. 6. Start the app with Python. ```sh pip install -U huggingface_hub hf download prathoshap/vagdhenu-demo --repo-type space --local-dir vagdhenu-demo cd vagdhenu-demo pip install gradio==5.49.1 pip install -r requirements.txt python app.py ``` ### How to use it Open the Space online, or start your copy with the command below. Then enter a verse, choose the meter and render it. ```sh python app.py ``` The steps on the page | Tool | What it does | | --- | --- | | Verse input | Takes a verse in any supported Indic script and detects the script itself | | Meter choice | Lets you pick the chandas the verse should be chanted in | | Render | Produces the chanted audio | ### Example You paste a verse in Devanagari, choose its meter and render. The page returns audio of the verse chanted in that meter. The first request is slower, and later ones are quicker. ### For newcomers and experts If you are new to this, start with a short verse whose meter you know. Expect the first render to take longer than the rest. If you know the field, the weights are pulled at runtime from the project's own repository. The first request downloads them and loads a DiT and BigVGAN onto the GPU, and later requests reuse the loaded models. The Space also names IndicF5. You enter a verse in an Indic script → The app detects the script → You pick the meter → The models render the chant ### Good to know The first request is slow because it loads the models. - First request: it downloads weights and loads the models, and later requests reuse them - Scripts: nine Indic scripts are detected automatically - Hosting: the hosted copy runs on ZeroGPU hardware - License: apache-2 - Cost to run: none named - Data it reaches: the verse you enter, plus the model weights it downloads from the project's repository - Not for: speech in modern languages, since it renders metered Sanskrit chant ## README ````markdown # Vāgdhenu A Sanskrit chant text-to-speech demo that takes a verse in any of several Indic scripts, lets you pick the meter, and renders it as audio. Runs on Hugging Face ZeroGPU. Made by prathoshap on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face. ## About What it is: Vāgdhenu is a text-to-speech demo for Sanskrit chant. You enter a verse in one of nine Indic scripts, including Devanagari, Kannada and Grantha, and the app detects the script for you. You pick the meter, called chandas, and it renders the verse as chanted audio. It runs on Hugging Face ZeroGPU. Who it suits: It suits people who study, recite or build tools for Sanskrit and Purāṇic verse and want to hear a verse in its meter. ```table Title: Who might use this demo Industry | Who uses it | How they use it | Example Education | Sanskrit students | Hear a verse chanted in its meter | Enter a verse and pick its chandas Cultural heritage | Archivists | Voice written verses from different scripts | Render a verse written in Grantha Speech technology | Developers | Try metered chant synthesis | Compare the same verse in two meters ``` If you want spoken text in everyday Hindi or another modern language, you can skip it, since it is built for metered chant. Where to use it: You can use it online or run a copy yourself. - Web browser: the Space's page on Hugging Face, with nothing to install - Windows, macOS or Linux: a local copy that runs with Python - Hugging Face Spaces: where the hosted demo runs, on ZeroGPU hardware ```table Title: What the demo is good for Use case | Who | What they get back Hear a verse chanted | Students | Audio of the verse in the meter you chose Voice mixed-script texts | Archivists | Audio from verses written in different Indic scripts Try chant synthesis | Developers | A look at how a metered chant model sounds ``` How to set it up: The hosted demo needs nothing. A local copy needs Python and pip. - Python, with pip - The Python packages that requirements.txt lists 1. Install the huggingface_hub package. 2. Download the Space's files into a folder. 3. Move into that folder. 4. Install Gradio 5.49.1. 5. Install the packages from requirements.txt. 6. Start the app with Python. ```sh pip install -U huggingface_hub hf download prathoshap/vagdhenu-demo --repo-type space --local-dir vagdhenu-demo cd vagdhenu-demo pip install gradio==5.49.1 pip install -r requirements.txt python app.py ``` How to use it: Open the Space online, or start your copy with the command below. Then enter a verse, choose the meter and render it. ```sh python app.py ``` ```table Title: The steps on the page Tool | What it does Verse input | Takes a verse in any supported Indic script and detects the script itself Meter choice | Lets you pick the chandas the verse should be chanted in Render | Produces the chanted audio ``` Example: You paste a verse in Devanagari, choose its meter and render. The page returns audio of the verse chanted in that meter. The first request is slower, and later ones are quicker. For newcomers and experts: If you are new to this, start with a short verse whose meter you know. Expect the first render to take longer than the rest. If you know the field, the weights are pulled at runtime from the project's own repository. The first request downloads them and loads a DiT and BigVGAN onto the GPU, and later requests reuse the loaded models. The Space also names IndicF5. ```flow You enter a verse in an Indic script The app detects the script You pick the meter The models render the chant ``` Good to know: The first request is slow because it loads the models. - First request: it downloads weights and loads the models, and later requests reuse them - Scripts: nine Indic scripts are detected automatically - Hosting: the hosted copy runs on ZeroGPU hardware - License: apache-2 - Cost to run: none named - Data it reaches: the verse you enter, plus the model weights it downloads from the project's repository - Not for: speech in modern languages, since it renders metered Sanskrit chant ## On Hugging Face, 13 November 2026 - Likes: 11 - Built with: gradio - License: apache-2.0 ## Links - Space: https://huggingface.co/spaces/prathoshap/vagdhenu-demo - Files: https://huggingface.co/spaces/prathoshap/vagdhenu-demo/tree/main ## Try it Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 4 KB, downloaded as a zip. ```text README.md 4 KB ``` ## Source [prathoshap/vagdhenu-demo on Hugging Face](https://huggingface.co/spaces/prathoshap/vagdhenu-demo) ## Compare with similar Listed Hugging Face Spaces in the same category that share the most tags with this one. | Product | Likes | Built with | License | Last change | | --- | --- | --- | --- | --- | | Vāgdhenu (this page) | 11 | gradio | apache-2.0 | 2026-06-29 | | [Unit 1 Quiz - AI Agent Fundementals](https://mindket.com/p/1b65056a-a2b2-4179-a81c-bdffa3636205) | 360 | gradio | apache-2.0 | 2025-06-24 | | [Unit 2.1 smolagents Code Quiz](https://mindket.com/p/c9f42604-0003-4117-9a4b-2b785f68ee99) | 63 | gradio | apache-2.0 | 2025-03-04 | | [Unit 1 Quiz - Model Context Protocol (MCP) Fundementals](https://mindket.com/p/f7210665-ca4c-423f-b45d-a1c6fa549eec) | 58 | gradio | apache-2.0 | 2025-06-03 | | [Tamazight Text-to-Speech](https://mindket.com/p/ab94f6a3-34fa-4c03-9fd0-751ff4f282eb) | 41 | gradio | cc-by-4.0 | 2023-11-25 | | [Embedding Draw Challenge](https://mindket.com/p/76690a14-5bc9-4d53-ad3e-d47e7218918f) | 30 | gradio | apache-2.0 | 2026-10-06 | Numbers as Mindket last read them, on 2026-11-12. ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2026-06-29 - First published: 2026-06-28 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open prathoshap/vagdhenu-demo on Hugging Face](https://huggingface.co/spaces/prathoshap/vagdhenu-demo) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/3745181d-4f59-45b5-bd41-0f3b7c3091f5) - [Its page on Mindket](https://mindket.com/p/3745181d-4f59-45b5-bd41-0f3b7c3091f5)