Developing an automatic poetry writing system based on ChatGPT: Python lets poetry flow

Develop an automatic poetry writing system based on ChatGPT: Python lets poetry flow

Since ancient times, poetry has been an important way for humans to express their feelings and thoughts. However, writing a beautiful poem is not something everyone can do, especially for those who have no experience in poetry writing. However, the development of modern technology has made it possible to write poems automatically. People can use computers and artificial intelligence technology to automatically generate poems. In this article, we will introduce how to use Python to write an automatic poetry writing system based on ChatGPT and give specific code examples.

ChatGPT is a reinforcement learning model developed by OpenAI that can generate natural language text and performs well on machine conversation and text generation tasks. We will use the powerful capabilities of the ChatGPT model to build an automatic poetry writing system.

First, we need to install the relevant Python libraries, including OpenAI's GPT library and other auxiliary libraries. You can use the following command to install them:

pip install openai
pip install poetry

Next, we need to register an account on the OpenAI official website and obtain the API key.

Before we start writing code, we need to define some necessary functions. First, we need a function to set the key for the OpenAI API:

import openai

def set_openai_key(key):
    openai.api_key = key

Then, we need a function to call the ChatGPT model to generate text. This function accepts a string as input, representing the text we want the model to continue generating:

def chat(prompt):
    response = openai.Completion.create(
        engine="text-davinci-002",
        prompt=prompt,
        temperature=0.7,
        max_tokens=100,
        n=1,
        stop=None,
        log_level="info"
    )
    return response.choices[0].text.strip()

In the above code, we use the ChatGPT model's text generation API to generate text. Among them, the engine parameter specifies the model version, the prompt parameter represents the input text, the temperature parameter controls the diversity of the generated text, max_tokensThe parameter limits the length of the generated text. The n parameter indicates how many text fragments are generated. The stop parameter can set stop words. The log_level parameter is optional and can Output more detailed log information.

Next, we can write a function to generate poetry. This function accepts a string as input, representing the topic or keyword of the poem we want to generate.

def generate_poem(topic):
    poem = ""
    line = ""

    # 第一行
    line = chat("Write a line of poetry about " + topic)
    poem += line + "
"

    # 第二行
    line = chat("Write a line of poetry that rhymes with the first line")
    poem += line + "
"

    # 第三行
    line = chat("Write a line of poetry that relates to the first two lines")
    poem += line + "
"

    return poem

In the above code, we called the chat function to generate three lines of poetry. The number of lines of generated poetry can be modified according to actual needs.

Finally, we can write a main function to test our automatic poetry writing system.

def main():
    set_openai_key("YOUR_OPENAI_API_KEY")

    topic = input("Enter the topic for the poem: ")
    poem = generate_poem(topic)
    print("Poem:")
    print(poem)

if __name__ == "__main__":
    main()

In the above code, we first set the OpenAI API key, then let the user enter the theme of the poem, call the generate_poem function to generate the poem, and finally print the generated poem.

So far, we have completed the development of the automatic poetry writing system based on ChatGPT. By calling the text generation API of the ChatGPT model, we can let the computer automatically generate beautiful poetry. The above code is just a simple example and can be modified and extended as needed to further improve the performance and flexibility of the automatic poetry writing system.

In short, Python allows poetry to flow in the world of coding. By leveraging Python and artificial intelligence technology, we can develop a variety of interesting and useful applications, including automatic poetry writing systems. I hope this article can bring you some inspiration and encourage you to explore and create more possibilities.

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