Google-Meet-Bot

This project is a Python bot that automates the process of logging into Gmail, joining a Google Meet, recording the audio of the meeting, and then generating a summary, key points, action items, and sentiment analysis of the meeting.

Prerequisites

• Python 3.8 or higher
• Chrome browser
• OpenAI API Key
• A Gmail account
• A Google Meet link

Installation

1. Clone the repository:

   git clone https://github.com/dhruvldrp9/Google-Meet-Bot.git
   cd Google-Meet-Bot

2. Create Python environment:

   python3 -m venv env

3. Activate environment:

   • For Unix/Linux/macOS:

     source env/bin/activate

   • For Windows:

     env\Scripts\activate

4. Install requirements:

   pip install -r requirements.txt

5. Configure environment variables:

   • Copy the example environment file:

     cp .env.example .env

   • Edit the .env file with your configuration:

     # Google Meet Credentials
     EMAIL_ID=your_email@gmail.com
     EMAIL_PASSWORD=your_password
     
     # Meeting Configuration
     MEET_LINK=https://meet.google.com/xxx-xxxx-xxx
     RECORDING_DURATION=60
     
     # Audio Configuration
     SAMPLE_RATE=44100
     MAX_AUDIO_SIZE_BYTES=20971520
     
     # OpenAI Configuration
     OPENAI_API_KEY=your_openai_api_key
     GPT_MODEL=gpt-4
     WHISPER_MODEL=whisper-1
     

6. Run Script:

   python3 join_google_meet.py

Environment Variables

Variable	Description	Default
EMAIL_ID	Your Gmail address	-
EMAIL_PASSWORD	Your Gmail password	-
MEET_LINK	Google Meet URL to join	-
RECORDING_DURATION	Duration to record in seconds	60
SAMPLE_RATE	Audio recording sample rate	44100
MAX_AUDIO_SIZE_BYTES	Maximum audio file size in bytes	20971520 (20MB)
OPENAI_API_KEY	Your OpenAI API key	-
GPT_MODEL	GPT model to use for analysis	gpt-4
WHISPER_MODEL	Whisper model for transcription	whisper-1

Features

• Automated Google Meet login and joining
• Audio recording of meetings
• Transcription using OpenAI's Whisper
• Meeting analysis including:
  • Abstract summary
  • Key points extraction
  • Action items identification
  • Sentiment analysis
• Automatic audio compression if size exceeds limit
• JSON output of meeting analysis