Metadata-Version: 2.2
Name: openscriber
Version: 0.1.0
Summary: A telemedicine transcription and analysis tool
Home-page: https://github.com/yourusername/openscriber
Author: Robert Cordwell
Author-email: cordwell@gmial.com
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Healthcare Industry
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: PyQt5>=5.15.0
Requires-Dist: pyaudio>=0.2.11
Requires-Dist: cryptography>=3.4.7
Requires-Dist: openai-whisper>=20231117
Requires-Dist: ctransformers>=0.2.27
Requires-Dist: huggingface-hub>=0.19.4
Requires-Dist: numpy<2.0.0,>=1.25.2
Requires-Dist: tqdm>=4.64.0
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

# OpenScriber

A telemedicine transcription and analysis tool that helps healthcare providers efficiently process and analyze patient conversations.

## Features

- Real-time audio recording and transcription
- Automated analysis of medical conversations
- Customizable analysis prompts
- Secure storage of transcripts and audio
- Multi-user support with individual encryption

## Installation

```bash
pip install openscriber
```

## Requirements

- Python 3.8 or higher
- PyQt5 for the GUI
- PyAudio for audio recording
- Whisper for transcription
- Other dependencies are automatically installed

## Usage

1. Run the application:
```bash
openscriber
```

2. Create an account or log in
3. Start recording your medical conversation
4. The application will automatically transcribe and analyze the conversation
5. View and copy the results as needed

## Development Setup

1. Clone the repository:
```bash
git clone https://github.com/yourusername/openscriber.git
cd openscriber
```

2. Create a virtual environment:
```bash
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate
```

3. Install dependencies:
```bash
pip install -e .
```

## License

This project is licensed under the MIT License - see the LICENSE file for details.
