USER_GUIDE.md

User Guide — MeetingNotes AI (EN)

Run the app

• Local: see README (venv → pip install → python app.py)
• Hugging Face Spaces: upload all files and open the Space

How to use

1. Choose your input:

   • Upload a meeting audio (.mp3/.wav) → click Analyze to transcribe.
   • OR paste a transcript.

2. Outputs:

   • Summary (1–2 paragraphs)
   • Action Items (list)
   • Decisions (list)
   • A downloadable minutes.md file

3. Tips:

   • Prefer clean recordings for audio (less noise).
   • Multiple speakers are fine; diarization is not enabled by default.
   • You can edit the transcript and re-run the extraction.

Troubleshooting

• If audio fails: ensure ffmpeg is available.
• If it’s slow on CPU: use a smaller Whisper model (tiny/base) or flan-t5-base in nlp_utils.py.
• Transcript-only flow works without ffmpeg.