file-processing-transcription

The file-processing-transcription library is an extension of the file-processing library, designed to add transcription functionality to the core file processing capabilities. This library is built as a decorator, enabling it to wrap around relevant audio and video file types to transcribe spoken content to text using OpenAI's Whisper model.

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Table of Contents

• Features
• Installation
• Contributing
• License
• Contact

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Features

• Audio Transcription: Converts spoken content in audio or video files to text.
• Language Detection: Automatically detects the language of transcribed content.
• Decorator Pattern: Seamlessly integrates with the File class from file-processing to add transcription functionality.

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Installation

To install the file-processing-transcription library and its dependencies, use the following command:

pip install -r requirements.txt

All required packages, including Whisper, are listed in the requirements.txt file.

Note: ffmpeg must be installed on your system for Whisper to process audio and video files. You can install it using the following command:

sudo apt-get update && sudo apt-get install -y ffmpeg

On macOS with Homebrew:

brew install ffmpeg

For Windows, download from https://ffmpeg.org/download.html and follow the installation instructions.

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Contributing

Contributions are welcome! Please follow these steps:

1. Fork the Repository: Create your fork on GitHub.
2. Create a Feature Branch: Work on your feature in a separate branch.
3. Write Tests: Ensure any changes are covered by tests.
4. Submit a Pull Request: When ready, submit a PR for review.

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License

This project is licensed under the MIT License.

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Contact

For questions or support, please contact:

• Email: ocdo-bdpd@hc-sc.gc.ca

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Enhance your file processing suite with transcription capabilities for audio and video content!