README.md

metadata

title: MeetingNotes AI (EN)
emoji: 📝
colorFrom: blue
colorTo: indigo
sdk: gradio
app_file: app.py
pinned: false

MeetingNotes AI — Meeting Summarizer (EN)

Goal: Upload a meeting audio (mp3/wav) or paste a transcript and get:

• ✅ a clear Summary
• 🧱 Action Items (who does what, by when if stated)
• 🧩 Decisions
• 🗂️ a ready-to-share minutes.md

Tech

• Transcription: faster-whisper (multilingual; works for English and French audio)
• Summarization: facebook/bart-large-cnn
• Extraction (actions/decisions): google/flan-t5-large
• UI: Gradio

Quickstart (local)

python -m venv .venv
source .venv/bin/activate         # Windows: .venv\Scripts\activate
pip install -r requirements.txt
# (Optional) install ffmpeg for audio support:
# macOS: brew install ffmpeg
# Ubuntu/Debian: sudo apt-get install -y ffmpeg
python app.py

Deploy on Hugging Face Spaces (recommended)

1. Create a Gradio Space
2. Upload all files from this folder
3. Wait for the build to finish (it reads requirements.txt)
4. Test with a .mp3/.wav or paste a transcript

Structure

MeetingNotes_AI_EN/
├─ app.py                   # Gradio UI (English)
├─ nlp_utils.py             # Transcription + summarization + action/decision extraction
├─ requirements.txt
├─ PROMPTS.md               # Prompts and tool-usage log
├─ CITATIONS.md             # Packages & models used
├─ USER_GUIDE.md            # User guide (English)
├─ DEMO_SCRIPT.md           # ≤ 5-min demo script (English)
├─ data/
│  └─ sample_transcript_en.txt
└─ outputs/                 # generated minutes.md

License

MIT — 2025