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Output.txt
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# Configuration for generating 3000 words using OpenAI API
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import openai
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# Estimate: 1 word ≈ 1.3 tokens, so 3000 words ≈ 3900 tokens
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# max_tokens is the *maximum* the model can return in tokens
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# GPT-4-turbo currently allows up to 4096 tokens in one response (or 128k in some versions)
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config = {
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"model": "gpt-4",
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"temperature": 0.7,
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"max_tokens": 3900, # aiming for ~3000 words (3900 tokens ≈ 3000 words)
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"top_p": 1,
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"frequency_penalty": 0,
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"presence_penalty": 0,
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"stop": None
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}
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prompt = "Write a detailed story about a lone warrior in a post-apocalyptic world who discovers a hidden underground city. The story should be around 3000 words long."
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response = openai.ChatCompletion.create(
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messages=[
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{"role": "system", "content": "You are a helpful, descriptive storyteller."},
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{"role": "user", "content": prompt}
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],
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**config
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)
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print(response["choices"][0]["message"]["content"])
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