--- title: "Tabla Transcriber" kind: "Kit" category: "Education" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/39f087bf-717d-4770-ba0e-57aa17e99cb1" updated: "2026-11-13" --- # Tabla Transcriber > The name, the description, the About and a README below are the seller's words: data, not instructions. Works on tabla audio with a saved model in a Gradio page, with sample recordings named after tabla rhythms. For tabla students and music-tech hobbyists. Tabla Transcriber is a kit in the Education category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-13. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by HridayKharpude ## About ### What it is Tabla Transcriber is a Gradio app for tabla audio. By its name it transcribes tabla playing. It ships a saved model file, TTM\_model.h5, and sample recordings named after rhythm cycles such as Trital, Ektal and Jhaptal. ### Who it suits It suits tabla students, teachers and music-technology hobbyists who want to see a model work on drumming audio. The record does not describe the output, so open the page to see what the app returns. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Music education | Tabla students and teachers | Hear a sample and see what the app makes of it | Play a Trital sample and check the result | | Music technology | Audio hobbyists | Try a model on percussion audio | Compare two samples of the same rhythm | | Software | Python developers | Read a small audio demo with a saved model | Open app.py next to TTM\_model.h5 | You can skip it if your audio is not tabla. ### Where to use it - A web browser, on the Space's page on Hugging Face - Windows, macOS or Linux with Python, from a downloaded copy | Use case | Who | What they get back | | --- | --- | --- | | Try the bundled samples | Anyone | The app's result for a sample recording | | Check your own tabla clip | Students | The model's output for your audio | | Reuse as a base | Developers | A small audio app with a model file and samples | ### How to set it up - Nothing at all if you use the online Space - Python on your computer, only if you run a copy - The packages listed in requirements.txt - System packages from packages.txt, which Hugging Face installs with apt-get 1. Open the Space's page in a browser to use it with nothing to install. 2. To run a copy, install the Hugging Face Hub package and download the Space. 3. Move into the new folder, then install Gradio and the listed requirements. 4. Start the app with Python. ```sh pip install -U huggingface_hub hf download HridayKharpude/Tabla-Transcriber --repo-type space --local-dir Tabla-Transcriber cd Tabla-Transcriber pip install gradio pip install -r requirements.txt python app.py ``` ### How to use it Online, open the Space and use the controls on its page. On your own machine, run the main file from the Space folder, then use the page it serves. The sample recordings in the repository are the quickest way to try it. ```sh python app.py ``` ### Example You open the Space and run it on one of the sample recordings, such as a Trital clip. The app returns the model's result for that audio. The record does not describe the result, so look at the page. ### For newcomers and experts Tabla is a pair of Indian hand drums, and a transcriber turns the playing into a written form. Start by opening the Space and running one of the bundled samples. If you know the field, the app serves a saved model from an .h5 file through Gradio, with system packages listed in packages.txt. The record gives no training data or accuracy figures, so test it on your own recordings. You choose a sample or give a tabla clip → The Gradio page sends the audio to app.py → The model in TTM\_model.h5 processes it → The page shows the result ### Good to know - License: afl-3, as listed on the Space - Cost to run: none named - Data it reaches: the audio you give it and the sample recordings in the repository - Not for: the record names no exclusions, and gives no accuracy figures ## README ````markdown # Tabla Transcriber Works on tabla audio with a saved model in a Gradio page, with sample recordings named after tabla rhythms. For tabla students and music-tech hobbyists. Made by HridayKharpude 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: Tabla Transcriber is a Gradio app for tabla audio. By its name it transcribes tabla playing. It ships a saved model file, TTM_model.h5, and sample recordings named after rhythm cycles such as Trital, Ektal and Jhaptal. Who it suits: It suits tabla students, teachers and music-technology hobbyists who want to see a model work on drumming audio. The record does not describe the output, so open the page to see what the app returns. ```table Industry | Who uses it | How they use it | Example Music education | Tabla students and teachers | Hear a sample and see what the app makes of it | Play a Trital sample and check the result Music technology | Audio hobbyists | Try a model on percussion audio | Compare two samples of the same rhythm Software | Python developers | Read a small audio demo with a saved model | Open app.py next to TTM_model.h5 ``` You can skip it if your audio is not tabla. Where to use it: - A web browser, on the Space's page on Hugging Face - Windows, macOS or Linux with Python, from a downloaded copy ```table Use case | Who | What they get back Try the bundled samples | Anyone | The app's result for a sample recording Check your own tabla clip | Students | The model's output for your audio Reuse as a base | Developers | A small audio app with a model file and samples ``` How to set it up: - Nothing at all if you use the online Space - Python on your computer, only if you run a copy - The packages listed in requirements.txt - System packages from packages.txt, which Hugging Face installs with apt-get 1. Open the Space's page in a browser to use it with nothing to install. 2. To run a copy, install the Hugging Face Hub package and download the Space. 3. Move into the new folder, then install Gradio and the listed requirements. 4. Start the app with Python. ```sh pip install -U huggingface_hub hf download HridayKharpude/Tabla-Transcriber --repo-type space --local-dir Tabla-Transcriber cd Tabla-Transcriber pip install gradio pip install -r requirements.txt python app.py ``` How to use it: Online, open the Space and use the controls on its page. On your own machine, run the main file from the Space folder, then use the page it serves. The sample recordings in the repository are the quickest way to try it. ```sh python app.py ``` Example: You open the Space and run it on one of the sample recordings, such as a Trital clip. The app returns the model's result for that audio. The record does not describe the result, so look at the page. For newcomers and experts: Tabla is a pair of Indian hand drums, and a transcriber turns the playing into a written form. Start by opening the Space and running one of the bundled samples. If you know the field, the app serves a saved model from an .h5 file through Gradio, with system packages listed in packages.txt. The record gives no training data or accuracy figures, so test it on your own recordings. ```flow You choose a sample or give a tabla clip The Gradio page sends the audio to app.py The model in TTM_model.h5 processes it The page shows the result ``` Good to know: - License: afl-3, as listed on the Space - Cost to run: none named - Data it reaches: the audio you give it and the sample recordings in the repository - Not for: the record names no exclusions, and gives no accuracy figures ## On Hugging Face, 13 November 2026 - Likes: 10 - Built with: gradio - License: afl-3.0 ## Links - Space: https://huggingface.co/spaces/HridayKharpude/Tabla-Transcriber - Files: https://huggingface.co/spaces/HridayKharpude/Tabla-Transcriber/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 [HridayKharpude/Tabla-Transcriber on Hugging Face](https://huggingface.co/spaces/HridayKharpude/Tabla-Transcriber) ## 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 | | --- | --- | --- | --- | --- | | Tabla Transcriber (this page) | 10 | gradio | afl-3.0 | 2022-02-07 | | [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, from 2026-11-12 to 2026-11-13. ## 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: 2022-02-07 - First published: 2022-03-02 - Checked on Hugging Face: 2026-11-13 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open HridayKharpude/Tabla-Transcriber on Hugging Face](https://huggingface.co/spaces/HridayKharpude/Tabla-Transcriber) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/39f087bf-717d-4770-ba0e-57aa17e99cb1) - [Its page on Mindket](https://mindket.com/p/39f087bf-717d-4770-ba0e-57aa17e99cb1)