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--- |
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title: Audio to Text |
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emoji: ▶︎ •၊၊||၊|။||||။၊|• 0:10 ➤ 📄 |
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colorFrom: blue |
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colorTo: yellow |
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sdk: gradio |
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app_file: app.py |
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pinned: false |
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license: apache-2.0 |
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--- |
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# Whisper Small Model Demo |
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This Space demonstrates the capabilities of OpenAI's Whisper small model for automatic speech recognition (ASR). Users |
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can upload audio files or record audio directly to obtain transcriptions. |
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## Overview |
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Whisper is a state-of-the-art ASR model developed by OpenAI. This demo utilizes the small variant of Whisper to |
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transcribe spoken language into text. The application is built using [Gradio](https://gradio.app/), which provides an |
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intuitive web interface for machine learning models. |
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## Features |
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- **Audio Input**: Upload pre-recorded audio files or record audio in real-time. |
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- **Transcription**: Generate text transcriptions of the input audio. |
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- **Language Support**: Whisper supports multiple languages; however, this demo is optimized for English. |
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## Usage |
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1. **Select Input Method**: |
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- *Upload*: Click on the "Upload" button to select an audio file from your device. |
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- *Record*: Use the "Record" button to capture audio using your microphone. |
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2. **Transcription**: |
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- After providing the audio input, click on the "Transcribe" button. |
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- The transcription will appear in the output box below. |
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## Requirements |
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To run this demo locally, ensure you have the following installed: |
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- Python 3.8 or higher |
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- Required Python packages listed in `requirements.txt` |
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## Setup Instructions |
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1. **Clone the Repository**: |
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```bash |
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git clone https://huggingface.co/spaces/your-username/whisper-small-demo |
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cd whisper-small-demo |
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``` |
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2. **Install Dependencies**: |
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```bash |
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pip install -r requirements.txt |
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``` |
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3. **Run the Application**: |
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```bash |
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python app.py |
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``` |
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Access the demo locally at `http://localhost:7860`. |
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## Acknowledgements |
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- [OpenAI](https://openai.com/) for developing the Whisper model. |
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- [Gradio](https://gradio.app/) for providing an easy-to-use interface for machine learning applications. |
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- [Hugging Face Spaces](https://huggingface.co/spaces) for hosting this demo. |
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## References |
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- [OpenAI Whisper GitHub Repository](https://github.com/openai/whisper) |
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- [Gradio Documentation](https://gradio.app/docs/) |
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- [Hugging Face Spaces Documentation](https://huggingface.co/docs/hub/spaces) |
