gptize 0.2.4

Gptize is a tool designed to concatenate the contents of project files for ChatGPT

GPTize

gptize is a tool for merging the contents of project files into a single text document. It is specifically designed to create datasets that can be loaded into ChatGPT for analysis or training. I, Aleksey Svetlov, created this tool because I was tired of copying file contents and paths to make GPT understand the context of my project. With gptize, this process is now automated and streamlined.

Features

• Exception handling for files based on .gitignore.
• Support for various encodings when reading files.
• Customizable output file naming based on the input file or directory name.
• Report generation including all processed files.

Installation

To install gptize, simply use pip:

pip install gptize

This command will install gptize and all its dependencies. After installation, you can use gptize from the command line anywhere.

Usage

To run gptize, you have several options:

Basic Usage

Simply invoke gptize in the command line to process the current directory:

gptize

This will process all files in the current directory and generate a report with a default name like gptize-output-folder-YYYYMMDD-HHMMSS.txt.

Specifying a Directory

To process a specific directory, use:

gptize /path/to/directory

This will process all files in the specified directory and create a report named gptize-output-folder-YYYYMMDD-HHMMSS.txt.

Specifying a Single File

For processing a single file:

gptize /path/to/file.txt

This will process only the specified file and generate a report named gptize-output-file_name-YYYYMMDD-HHMMSS.txt, where file_name is the name of the input file.

Custom Output File

If you want to specify a custom output file name, use the -o or --output option:

gptize -o custom_output.txt

This command will override the default naming convention and use custom_output.txt as the output file name.

Uploading to ChatGPT

After generating the merged file using gptize, you can upload it to ChatGPT for improved context understanding. When making requests to ChatGPT, explicitly reference the uploaded file, for instance, using a phrase like ... based on the imported txt file. See project file for context This approach significantly enhances the quality of ChatGPT's responses by providing it with specific context.

Components

• gptizer.py: The main class for file processing.
• main.py: The entry point of the application.
• models.py: Data models for files and projects.
• output_builder.py: Output constructor for report generation.
• settings.py: Project settings.

Author and Maintainer

Alexey Svetlov - Creator and main maintainer.

Contact Information

• LinkedIn
• Telegram
• Email: [e-mail]

License

The project is distributed under the MIT License.

CHANGELOG

[0.2.4] - 2023-11-16

• [Feature] Custom Output File Naming
  • Output files now include the name of the processed file or directory, enhancing traceability and identification.
• [Enhancement] Settings Method for Custom File Names
  • Updated the Settings class with a new method to generate output file names incorporating the name of the input file or directory.
• [Modification] Main File Processing Logic
  • Modified main.py to adopt the new output file naming scheme.
• [Fix] Minor Bug Fixes and Performance Improvements
  • Addressed various minor bugs and optimized performance.

[0.2.3] - 2023-11-12

• [Enhancement] Detect binary files and handle errors gracefully
  • Added binary file detection logic in load_file_content method.
  • Improved error handling for file reading.
  • Updated the OutputBuilder to handle binary files properly.