This library provides an easy-to-use Python interface for interacting with OpenAI's GPT models, including both the Assistant API and the Completion endpoint.
- Interactive GPT with Assistant
- gpt request with Completions api
- Cost calculation for api requests and responses from openai
- Clone the Repository: Clone this repository to your local machine:
git clone https://github.com/thedev-junyoung/GoogleDrivePyManager.git- To get started with this library, you'll need to install it via
pipand set up your OpenAI API key.
pip install openai python-dotenv- create a .env file at the root of your project and include your OpenAI API key:
OPENAI_API_KEY='your-api-key-here'This library supports both text completions using the Completion API and structured conversations with the Assistant API. Below are examples of how to use each feature.
To generate text completions, such as answering a trivia question, use the following code:
from dotenv import load_dotenv
from openai_api_client import OpenAICompletion # Ensure you have this module in your project
import os
if __name__ == "__main__":
# Load environment variables from the .env file
load_dotenv()
# Retrieve your OpenAI API key from the .env file
OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
# Initialize the completion service with the specified model
service = OpenAICompletion(model_name="gpt-3.5-turbo", open_ai_key=OPENAI_API_KEY)
# Provide the system prompt and user input
system_prompt = "You are a helpful assistant designed to output JSON."
user_input = "Who won the world series in 2020?"
# Call the generate function to get the result
result = service.generate(system_prompt, user_input)
# Print the resulting text completion
print(result)The Completion API can be used to generate text completions for a variety of tasks.
from dotenv import load_dotenv
from legal_document_service import OpenAICompletion
import os
if __name__ == "__main__":
# Load environment variables from the .env file
load_dotenv()
# Get API key from the .env file
OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
OpenAICompletion
# Initialize the service with the chosen model
service = OpenAICompletion(model_name="gpt-3.5-turbo", open_ai_key=OPENAI_API_KEY)
# System prompt and user input for generating a legal document
system_prompt = "You are a helpful assistant designed to output JSON."
user_input = "Who won the world series in 2020?"
# Generate the legal document
result = service.generate(system_prompt, user_input)
# Print the result
print(result)
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