GPTEngineModel Class Documentation

The GPTEngineModel class is designed to interact with the OpenAI GPT-3.5 Turbo engine using prompts from a .doc file. It provides a convenient way to generate responses based on tasks and input prompts.

Table of Contents

1. Installation
2. Usage
3. Class Details
   • Attributes
   • Methods
4. Example
5. Contributing
6. License

Installation

Before using the GPTEngineModel class, make sure you have the required dependencies installed:

pip install openai
pip install python-docx

Usage

To use the GPTEngineModel class, follow these steps:

1. Create a configuration file containing your OpenAI API key. Refer to the config.py file in the code for an example.

2. Import the GPTEngineModel class:

from your_module import GPTEngineModel

3. Initialize an instance of the GPTEngineModel class with your main task and input prompt:

engine = GPTEngineModel("Main task description", "Input prompt text")

4. Use the generate_response method to generate responses based on a .doc file:

response = engine.generate_response("path/to/your/file.docx")
print(response)

Class Details

Attributes

• main_task (str): The main task description.
• input_prompt (str): The input prompt for the GPT-3.5 Turbo engine.
• api_key (str): The OpenAI API key for authentication.

Methods

generate_response(file_path: str) -> str

Generate a response from OpenAI based on the provided .doc file.

• Parameters:

  • file_path (str): The path to the .doc file.

• Returns:

  • str: The response from OpenAI.

Private Methods

• _setup_openai(): Set up the OpenAI API key for authentication.
• _get_context() -> str: Get the context for the current task.
• _get_file(file_path: str) -> str: Read the .doc file and return the text content.
• _batch_process(file_path: str) -> List[dict]: Batch process the instructions and input prompt.

Example

from your_module import GPTEngineModel

# Initialize the GPTEngineModel
engine = GPTEngineModel("Summarize an article", "Please summarize the following article:")

# Generate a response from OpenAI based on a .doc file
response = engine.generate_response("path/to/your/article.docx")
print(response)

Contributing

If you would like to contribute to this project or report issues, please refer to the project's GitHub repository https://github.com/mbsuraj/gptEngine.git.

License

This project is licensed under the MIT. See the LICENSE.md file for details.