To use ChatGPT in Python, you can make use of the OpenAI API to interact with the model. Here's an unofficial guide to get you started:
- Install the required libraries:
pip install openai
- Import the necessary modules:
import openai
import json
- Set up your API key:
openai.api_key = 'YOUR_API_KEY'
Make sure to replace 'YOUR_API_KEY'
with your actual OpenAI API key. If you don't have one, you can sign up for access on the OpenAI website.
- Make a function to send a message to ChatGPT:
def send_message(message):
response = openai.Completion.create(
engine='text-davinci-003',
prompt=message,
max_tokens=100,
temperature=0.7,
top_p=1.0,
n=1,
stop=None,
timeout=15
)
reply = response.choices[0].text.strip()
return reply
In this function, we use the openai.Completion.create
method to send a prompt to the ChatGPT model and retrieve a response. You can adjust the parameters according to your needs.
- Use the
send_message
function to start a conversation:
conversation = [
{'role': 'system', 'content': 'You are a helpful assistant.'},
{'role': 'user', 'content': 'Who won the world series in 2020?'}
]
messages = [{'role': role, 'content': content} for role, content in conversation]
prompt = json.dumps(messages)
reply = send_message(prompt)
print(reply)
The conversation is represented as a list of messages, where each message has a role ('system', 'user', or 'assistant') and content (the text of the message). You can modify the conversation
list to suit your own conversation.
The messages are then converted to a JSON format and passed to the send_message
function, which returns the assistant's reply.
That's it! You now have a basic setup to interact with ChatGPT using Python. Remember to be mindful of OpenAI's API usage guidelines and respect any rate limits or restrictions in place.
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