transmeet 0.0.3

LLM-powered meeting transcription and summarization tool.

🎙️ TransMeet — AI-Powered Meeting Summarizer

Turn your meeting recordings into clear, structured minutes using LLMs like Groq Whisper and Google Speech Recognition.

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🚀 Features

• ✅ Audio Transcription — Automatically convert .wav or .mp3 files into text
• 🧠 LLM-Powered Summarization — Generate concise and structured meeting minutes
• 🔍 Groq & Google Support — Choose between Groq Whisper models or Google Speech API
• 🪓 Automatic Chunking — Splits large files intelligently for smoother transcription
• 🧾 CLI & Python API — Use it from the terminal or integrate in your Python workflows
• 📁 Clean Output — Saves transcripts and summaries neatly in your desired folder

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📦 Installation

pip install transmeet

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🔐 Setup

Set your GROQ API Key as an environment variable:

export GROQ_API_KEY=your_groq_api_key

To make this permanent, add it to your shell config (e.g., ~/.bashrc or ~/.zshrc):

echo 'export GROQ_API_KEY=your_groq_api_key' >> ~/.bashrc

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🧑‍💻 How to Use

✅ Option 1: Import as a Python Module

from transmeet import generate_meeting_transcript_and_minutes

audio_path = "/path/to/your/audio.wav"
output_path = "/path/to/output/folder"

generate_meeting_transcript_and_minutes(audio_path, output_path)

This will save two files in your output directory:

• transcription_<timestamp>.txt
• meeting_minutes_<timestamp>.md

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🔧 Option 2: Use the CLI

Basic Command

transmeet -a /path/to/audio.wav -o output/

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🗂️ Output Structure

output/
├── transcriptions/
│   └── transcription_20250510_213038.txt
├── meeting_minutes/
│   └── meeting_minutes_20250510_213041.md

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🧪 Supported Formats

• .wav
• .mp3

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🛠️ Configuration

You can also customize transcription behavior using a config.conf file (optional). See examples in the repo.

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🤖 LLM Models

• Groq Whisper (e.g. whisper-large)
• Google Speech Recognition (fallback if --use-groq not set)

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📋 Roadmap

• Add support for multi-language meetings
• Speaker diarization support
• Upload directly to Notion or Google Docs
• Slack/Discord bots

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🧑‍🎓 Author

Deepak Raj 👨‍💻 GitHub • 🌐 LinkedIN

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🤝 Contributing

Pull requests are welcome! If you find a bug or want a feature, open an issue or submit a PR.

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⚖️ License

MIT License