sahilkamate03 / docgpt

ChatGPT trained on Accops Documentation.

Readme: Using OpenAI's GPT model

This code demonstrates how to import OpenAI's API key and use their GPT model for text generation.

Importing OpenAI

At the beginning of the code, the openai module is imported to authenticate and authorize access to OpenAI's GPT model.

Using the GPT model

The model variable specifies the GPT model to be used for text generation. The code uses the while loop to listen for user input and generate text based on the input using OpenAI's GPT model. The generated text is stored in the response variable and is displayed to the user using the print statement.

Parameters

The text generation process can be controlled using various parameters:

• temperature controls the "creativity" of the generated text. Higher temperatures lead to more varied and unexpected responses, while lower temperatures lead to more conservative and predictable responses.

• top_p controls the diversity of the generated text by setting a threshold for the cumulative probability of the most likely words.

• max_tokens sets the maximum number of tokens (words) that the GPT model will generate.

• frequency_penalty and presence_penalty control the frequency of repetition of words and phrases in the generated text.

Running the code

To run the code go to model folder and type python main.py. Note : Before running the program setup the .env in the same folder.