--config: Path to the configuration file.

Usage: --config <path_to_config_file> Example: --config config.yaml --prompt: List of prompt files.

Usage: --prompt <prompt_file1> <prompt_file2> ... Example: --prompt prompt1.txt prompt2.txt --input_dir: Directory for input files.

Usage: --input_dir <path_to_input_directory> Example: --input_dir ./input --output_dir: Directory for output files.

Usage: --output_dir <path_to_output_directory> Example: --output_dir ./output --model: OpenAI model to use.

Usage: --model <model_name> Example: --model gpt-4 --temperature: Temperature setting for the OpenAI model.

Usage: --temperature <temperature_value> Example: --temperature 0.7 --max_tokens: Maximum number of tokens for the OpenAI model.

Usage: --max_tokens <max_tokens_value> Example: --max_tokens 1500 --verbose: Enable verbose logging.

Usage: --verbose Example: --verbose --log_file: Path to log file.

Usage: --log_file <path_to_log_file> Example: --log_file gpt_processor.log# FilePromtForge01

GPT Processor Application

Overview

This repository contains scripts for installing and running a GPT processor application. The application processes input files by sending prompts to the OpenAI API and stores the responses in the output directory.

Features

GPT Processor Installer

• Directory Creation: Creates necessary directories (prompts/, input/, output/).
• Executable Copying: Copies the main application executable to the installation directory.
• Default Prompt File: Creates a default prompt file if it doesn't exist.
• System PATH: Optionally adds the installation directory to the system PATH.
• Logging: Provides user-friendly logging and error handling.

GPT Processor Main Application

• Prompt Management: Combines multiple prompt files into a single system prompt.
• File Processing: Processes multiple input files concurrently and saves AI-generated responses to the output directory.
• Logging: Comprehensive logging to console and optional log file.
• Concurrency: Utilizes ThreadPoolExecutor for concurrent processing of input files.

Installation

1. Clone the Repository:

   git clone https://github.com/morganross/FilePromtForge01.git
   cd FilePromtForge01

2. Install Dependencies:

   pip install -r requirements.txt

3. Run the Installer:

   python gpt_processor_installer.py --main_executable path/to/gpt_processor.exe

   Options:

   • --install_dir: Directory to install GPT Processor.
   • --add_to_path: Add the installation directory to the system PATH.
   • --log_file: Path to the log file.
   • --verbose: Enable verbose logging.

Usage

1. Prepare Input Files: Place the files you want to process in the input directory.

2. Run the Processor:

   python gpt_processor_main.py

   Options:

   • --prompt: Specify one or more prompt files to use.
   • --input_dir: Specify input directory.
   • --output_dir: Specify output directory.
   • --model: Specify the OpenAI model to use.
   • --temperature: Set the temperature for the API.
   • --max_tokens: Set the maximum tokens for the API.
   • --config: Path to configuration file.
   • --log_file: Path to the log file.
   • --verbose: Enable verbose logging.

Configuration

The application can be configured using a YAML configuration file or environment variables. Example configuration:

openai:
  api_key: your_openai_api_key
  model: gpt-4
  temperature: 0.7
  max_tokens: 1500
# FilePromptForge01