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Entry point function that orchestrates the process of loading a meeting transcript, generating structured meeting minutes using OpenAI's GPT-4o API, and saving the output to a file.

Purpose

This function serves as the main execution entry point for a meeting minutes generation application. It handles the complete workflow: validates environment configuration (OpenAI API key), initializes the MeetingMinutesGenerator class, loads a transcript from a hardcoded file path, generates formatted meeting minutes using GPT-4o, and saves the results to an output file. It includes error handling and user feedback through console messages.

Source Code

def main():
    """Main function to process transcript and generate meeting minutes."""
    
    # Configuration
    API_KEY = os.getenv('OPENAI_API_KEY')
    if not API_KEY:
        print("Error: OPENAI_API_KEY environment variable not set")
        print("Please set your OpenAI API key as an environment variable:")
        print("export OPENAI_API_KEY='your-api-key-here'")
        return
    
    # File paths
    transcript_path = "/tf/active/leexi/leexi-20250618-transcript-development_team_meeting.md"
    output_path = "/tf/active/meeting_minutes_2025-06-18.md"
    
    try:
        # Initialize generator
        generator = MeetingMinutesGenerator(API_KEY)
        
        # Load transcript
        print("Loading transcript...")
        transcript = generator.load_transcript(transcript_path)
        
        # Generate meeting minutes
        print("Generating meeting minutes with GPT-4o...")
        minutes = generator.generate_meeting_minutes(transcript, "Development Team Meeting - June 18, 2025")
        
        # Save results
        generator.save_minutes(minutes, output_path)
        
        print("Meeting minutes generation completed successfully!")
        print(f"Output saved to: {output_path}")
        
    except Exception as e:
        print(f"Error: {e}")

Return Value

Returns None. The function performs side effects (file I/O, console output) but does not return any value. Exits early with return if API key validation fails.

Dependencies

• os
• openai

Required Imports

import os
import openai

Usage Example

# Set environment variable before running
# export OPENAI_API_KEY='sk-your-api-key-here'

# Ensure MeetingMinutesGenerator class is defined
# Then call the function:
if __name__ == '__main__':
    main()

# Expected console output:
# Loading transcript...
# Generating meeting minutes with GPT-4o...
# Meeting minutes generation completed successfully!
# Output saved to: /tf/active/meeting_minutes_2025-06-18.md

Best Practices

• The function uses hardcoded file paths which limits reusability. Consider accepting file paths as command-line arguments or configuration parameters.
• API key validation is performed at runtime. Ensure the OPENAI_API_KEY environment variable is set before execution.
• The function catches all exceptions generically. Consider more specific exception handling for different error types (file not found, API errors, etc.).
• The MeetingMinutesGenerator class must be defined elsewhere in the codebase with methods: load_transcript(), generate_meeting_minutes(), and save_minutes().
• This function is designed to be called as a script entry point (if __name__ == '__main__': main()).
• Console output is used for user feedback. Redirect or capture stdout if running in automated environments.
• The meeting title 'Development Team Meeting - June 18, 2025' is hardcoded. Consider making this configurable or deriving it from the transcript.

Tags

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