!pip install transformers

import torch
from transformers import GPT2Tokenizer, GPT2LMHeadModel

# Load the GPT-3 model and tokenizer
tokenizer = GPT2Tokenizer.from_pretrained("stuheart86/EleutherAI-gpt-neo-1.3B")
model = GPT2LMHeadModel.from_pretrained("stuheart86/EleutherAI-gpt-neo-1.3B")

# Generate a story based on inputs
def generate_story(inputs):
    genre = inputs["genre"]
    story_teller = inputs["story_teller"]
    story_telling_style = inputs["story_telling_style"]
    creativity = inputs["creativity"]
    
    # Use the inputs to prompt the GPT-3 model
    prompt = f"Write a {genre} story told by a {story_teller} in a {story_telling_style} style with {creativity} creativity."
    encoded_prompt = tokenizer.encode(prompt, return_tensors="pt")
    generated_story = model.generate(encoded_prompt, max_length=200, num_return_sequences=1)
    decoded_story = tokenizer.decode(generated_story.tolist()[0])
    
    return decoded_story