import openai

def classify_website(website): prompt = "Website classification:\n\nWebsite: {} \nCategory:".format(website) model_response = openai.Completion.create( model="gpt-3.5-turbo", prompt=prompt, max_tokens=1, temperature=0.2, n=1, stop=None, temperature=0.2 )

category = model_response.choices[0].text.strip()

return category

def determine_piracy_type(website): prompt = "Piracy type detection:\n\nWebsite: {} \nType:".format(website) model_response = openai.Completion.create( model="gpt-3.5-turbo", prompt=prompt, max_tokens=1, temperature=0.2, n=1, stop=None, temperature=0.2 )

piracy_type = model_response.choices[0].text.strip()

return piracy_type

Set up OpenAI API credentials

openai.api_key = "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"

Get website list input from the user

websites = input("Enter a comma-separated list of websites to classify: ").split(",")

Classify each website

for website in websites: website = website.strip() classification = classify_website(website)

if classification == "Piracy":
    piracy_type = determine_piracy_type(website)
    print("The website {} is classified as: Piracy - {}".format(website, piracy_type))
else:
    print("The website {} is classified as: Legal".format(website))