Delete README.md

README.md

@@ -1,59 +0,0 @@
----
-title: AI Clinical Notes
-emoji: 🦀
-colorFrom: yellow
-colorTo: yellow
-sdk: streamlit
-sdk_version: 1.42.0
-app_file: app.py
-pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
-
-# AI Clinical Notes
-
-Created by Dr. Fernando Ly
-
-## Description
-This application helps medical professionals automatically generate clinical notes from doctor-patient conversations. It uses:
-- Whisper for speech-to-text transcription
-- Mixtral-8x7B for clinical note generation
-- Streamlit for the user interface
-
-## Features
-- Real-time audio recording
-- Automatic speech transcription
-- AI-powered clinical note generation
-- Clean and intuitive interface
-
-## Setup
-1. Install the required dependencies:
-```bash
-pip install -r requirements.txt
-```
-
-2. Make sure you have a `.env` file with your Huggingface API token:
-```
-HUGGINGFACE_TOKEN=your_token_here
-```
-
-3. Run the application:
-```bash
-streamlit run app.py
-```
-
-## Usage
-1. Open the application in your web browser
-2. Set the desired recording duration using the slider
-3. Click "Start Recording" to begin capturing the conversation
-4. Wait for the transcription and clinical notes to be generated
-5. Review and verify the generated notes
-
-## Important Notes
-- This is an AI-assisted tool. Always review and verify the generated notes
-- Ensure you have proper consent before recording conversations
-- Keep patient privacy and HIPAA compliance in mind when using this tool
-
-## License
-This project is licensed under the MIT License.