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import gradio as gr
from transformers import GPT2LMHeadModel, GPT2Tokenizer
# Load the MARIOGPT model and tokenizer
model_name = "shyamsn97/Mario-GPT2-700-context-length"
model = GPT2LMHeadModel.from_pretrained(model_name)
tokenizer = GPT2Tokenizer.from_pretrained(model_name)
# Define the function to generate Mario level
def generate_mario_level(prompt):
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(inputs["input_ids"], max_length=200)
generated_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
return generated_text
# Create the Gradio interface
interface = gr.Interface(
fn=generate_mario_level,
inputs=gr.Textbox(lines=2, placeholder="Enter level description here..."),
outputs="text",
title="MARIOGPT Level Generator",
description="Generate Mario levels using MARIOGPT by entering a level description.",
examples=[["simple level"], ["difficult level with many enemies"], ["water level with lots of coins"]]
)
# Launch the Gradio interface
interface.launch()
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