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--- |
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title: MeetingNotes AI (EN) |
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emoji: 📝 |
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colorFrom: blue |
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colorTo: indigo |
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sdk: gradio |
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app_file: app.py |
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pinned: false |
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--- |
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# MeetingNotes AI — Meeting Summarizer (EN) |
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**Goal:** Upload a **meeting audio** (mp3/wav) or paste a **transcript** and get: |
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- ✅ a clear **Summary** |
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- 🧱 **Action Items** (who does what, by when if stated) |
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- 🧩 **Decisions** |
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- 🗂️ a ready-to-share **minutes.md** |
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**Tech** |
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- Transcription: `faster-whisper` (multilingual; works for English **and** French audio) |
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- Summarization: `facebook/bart-large-cnn` |
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- Extraction (actions/decisions): `google/flan-t5-large` |
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- UI: **Gradio** |
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## Quickstart (local) |
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```bash |
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python -m venv .venv |
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source .venv/bin/activate # Windows: .venv\Scripts\activate |
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pip install -r requirements.txt |
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# (Optional) install ffmpeg for audio support: |
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# macOS: brew install ffmpeg |
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# Ubuntu/Debian: sudo apt-get install -y ffmpeg |
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python app.py |
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``` |
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## Deploy on Hugging Face Spaces (recommended) |
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1. Create a **Gradio** Space |
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2. Upload **all files** from this folder |
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3. Wait for the build to finish (it reads `requirements.txt`) |
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4. Test with a `.mp3/.wav` or paste a transcript |
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## Structure |
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``` |
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MeetingNotes_AI_EN/ |
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├─ app.py # Gradio UI (English) |
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├─ nlp_utils.py # Transcription + summarization + action/decision extraction |
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├─ requirements.txt |
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├─ PROMPTS.md # Prompts and tool-usage log |
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├─ CITATIONS.md # Packages & models used |
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├─ USER_GUIDE.md # User guide (English) |
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├─ DEMO_SCRIPT.md # ≤ 5-min demo script (English) |
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├─ data/ |
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│ └─ sample_transcript_en.txt |
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└─ outputs/ # generated minutes.md |
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``` |
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## License |
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MIT — 2025 |
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