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---
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)
```bash
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
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