whisper-app

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This repository contains a web application for multi-lingual transcription using OpenAI's Whisper Automatic Speech Recognition (ASR) model. Users can upload audio files in WAV, MP3, or M4A formats and get transcriptions in various languages. The application is designed with accessibility and data privacy in mind.

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# [ARCHIVED]: Multi-lingual Transcription using Whisper

This is a simple web application that allows users to transcribe audio files into text using the [Whisper Automatic Speech Recognition (ASR) model](https://github.com/openai/whisper). The application is built using Streamlit and leverages OpenAI's Whisper to perform transcriptions.

## How to Use

* **Upload Audio**: Click on the button and select (or drag and drop) an audio file in WAV, MP3, or M4A format that you want to transcribe.
  ![alt text](https://github.com/fizamusthafa/whisper-app/blob/master/overview.png "Drag or Upload")
* **Transcribe Audio**: Once the audio file is uploaded, click on the "Transcribe Audio" button in the sidebar. The application will start transcribing the audio using the Whisper model.
* **Supported Languages**: The Whisper model supports multiple languages. The application will automatically detect the language of the uploaded audio and provide accurate transcriptions for a wide range of languages. This includes *Afrikaans, Arabic, Armenian, Azerbaijani, Belarusian, Bosnian, Bulgarian, Catalan, Chinese, Croatian, Czech, Danish, Dutch, English, Estonian, Finnish, French, Galician, German, Greek, Hebrew, Hindi, Hungarian, Icelandic, Indonesian, Italian, Japanese, Kannada, Kazakh, Korean, Latvian, Lithuanian, Macedonian, Malay, Marathi, Maori, Nepali, Norwegian, Persian, Polish, Portuguese, Romanian, Russian, Serbian, Slovak, Slovenian, Spanish, Swahili, Swedish, Tagalog, Tamil, Thai, Turkish, Ukrainian, Urdu, Vietnamese, and Welsh.*
* **Clean-up**: After the transcription is complete, the temporary audio file will be removed to ensure your data privacy.

## Requirements

To run this application locally, you need to have Python installed along with the following packages:

* Streamlit
* Whisper

You can install the required packages using the following commands:
```
pip install streamlit
pip install openai-whisper
```

## How to Run

* Clone this repository to your local machine.
* Open a terminal or command prompt and navigate to the repository's directory.
* Run the Streamlit application: `streamlit run whisper-app.py`
* The application will open in your web browser, and you can start transcribing audio files right away.

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