import openai

model = "gpt-3.5-turbo"

def get_keywords(question):
    prompt = f"Extract 10 keywords from the following question, including synonyms. Use only lowercase letters:\n\n{question}"
    response = openai.Completion.create(model=model, prompt=prompt, max_tokens=60)
    keywords = response.choices[0].text.strip().split(', ')
    return keywords

def answer_question(chunk, question):
    prompt = f"Based on the following information, what is the answer to this question?\n\nText:\n{chunk}\n\nQuestion:\n{question}"
    response = openai.Completion.create(model=model, prompt=prompt, max_tokens=150)
    answer = response.choices[0].text.strip()
    return answer

# Example usage
question = "What are the key aspects of climate change?"
keywords = get_keywords(question)
print("Keywords:", keywords)

chunk = "Climate change is a long-term change in the average weather patterns..."
answer = answer_question(chunk, question)
print("Answer:", answer)