/AUTO_WORKLOAD_LOGGER-BY-GEMINI

Primary LanguagePython

Gemini Workload Logger

A simple GUI application to log your project workload using the Gemini API for console-style logging.

Setup

  1. Install Requirements:
pip install google-generativeai tkinter python-dotenv

  1. Get your Gemini API key: Go to Google AI Studio and get your Gemini API key.

  2. Create .env file: In the same directory as the gemini_logger.py file, create a .env file and add your Gemini API key:

    GOOGLE_API_KEY="YOUR_ACTUAL_GEMINI_API_KEY_HERE"

    Remember to replace YOUR_ACTUAL_GEMINI_API_KEY_HERE with your actual key.

Usage

  1. Run the application: python gemini_logger.py
  2. Enter your workload update in the text box.
  3. Click on "Save as File" to save a new file or click "Change File" to load an existing log file
  4. Click "Update Log" to append the timestamped, Gemini-formatted log to the current file.

Features

  • Uses Gemini API to translate input text to console-like status logs.
  • Saves logs to a specified text file.
  • Basic GUI with text input and a display for log entries.
  • Timestamped log entries.
  • Supports saving to new or loading existing log files.

Important

  • Do not commit the .env file containing your API key to version control. The included .gitignore takes care of this.

changelog

  • Adjusted Gemini API interaction for improved stability.
  • Removed structured response constraint to resolve API errors.
  • This change simplifies data retrieval from the model.
  • The system now expects and processes standard text output.
  • This modification enhances application reliability.