• brew install portaudio
• brew install ffmpeg
• python -m venv env (>=3.9 and <3.13)
• source env/bin/activate (Linux)
• pip install -r requirements.txt
• Download a whisper model from https://github.com/openai/whisper/blob/main/whisper/__init__.py
• .env variables needed
  • OPENAI_API_KEY
  • RECORDING_FOLDER (relative file location)
  • WHISPER_MODEL (relative file location)
  • FHIR_SERVER_URL (optional)
• python backend/manage.py migrate
• python backend/manage.py runserver

synthea/src/main/resources/synthea.properties

# HackHarvard 2024 custom settings
exporter.fhir.use_us_core_ig = true
exporter.fhir.transaction_bundle = true
# exporter.fhir.bulk_data = true
exporter.fhir.server_url = http://localhost:8080/fhir

Ensure file is executable chmod +x ./gen_and_upload.sh Ensure ./run_synthea is pointing to the correct synthea directory

/create_patient/[id]/ -> {success} /update_patient/[id]/ -> {success} /initialize_patient/[id]/ -> {success} /get_patient/[id]/ -> {data} /start_recording/ -> {recorder_id} /stop_recording/[id]/ -> {filename} /get_suggestion/[filename]/ -> {suggestion, transcription}