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ChatGPT has over 100 million monthly users. As a large-scale natural language processing model developed by OpenAI, ChatGPT can generate corresponding text replies based on user input and associate context, making it very smart. As a Python enthusiast, we can interact with ChatGPT by calling the OpenAI API. This article tells you how.
First of all, ChatGPT has not officially disclosed the API. Currently, the following method is only for testing, but there is no problem in using it. If you are interested, you can follow the official website[1]renew.
First, you need to register an account on the OpenAI official website and obtain the API Key, which is used to access OpenAI’s API. If you obtain the API Key, you can use it without opening the qiang.
Install the OpenAI library through pip:
pip install openai
The following is a piece of Python code that demonstrates how to call OpenAI API to interact with ChatGPT:
import openai # 设置 API Key openai.api_key = "your_api_key" # 设置请求参数 model_engine = "text-davinci-002" prompt = "如何用 Python 玩转 ChatGPT" completions = openai.Completion.create( engine=model_engine, prompt=prompt, max_tokens=1024, n=1, stop=None, temperature=0.5, ) # 获取 ChatGPT 的回复 message = completions.choices[0].text print(message)
Now, we run the code and observe the response of ChatGPT:
The text is too long and has not been cut off. After reading it, I can only say that it is so awesome!
You can adjust the response of ChatGPT by changing the request parameters in the code, such as prompts, model, temperature, etc. It should be noted that OpenAI’s API has request limits, so please ensure that you use the API appropriately during development and testing. When using ChatGPT for language processing, you can use a variety of language techniques, such as dialogue management, context analysis, etc., to improve the quality of your application.
Overall, using Python to play with ChatGPT is a very interesting experience and will help you better understand how the language model works. Through practice and practice, you can master how to use language models to create applications with language processing capabilities.
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