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Update app.py
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app.py
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import gradio as gr
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from
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# Load the
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model_name = "shyamsn97/Mario-GPT2-700-context-length"
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tokenizer = GPT2Tokenizer.from_pretrained(model_name)
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# Define the function to generate Mario
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def generate_mario_level(prompt):
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# Create the Gradio interface
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# Launch the Gradio interface
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import gradio as gr
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from mario_gpt import MarioLM, SampleOutput
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import torch
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from PIL import Image
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# Load the Mario GPT model
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model_name = "shyamsn97/Mario-GPT2-700-context-length"
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mario_lm = MarioLM(lm_path=model_name, tokenizer_path=model_name)
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# Define the function to generate Mario levels
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def generate_mario_level(prompt, num_steps=1400, temperature=2.0):
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generated_level = mario_lm.sample(
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prompts=[prompt],
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num_steps=num_steps,
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temperature=temperature,
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use_tqdm=False
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)
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# Save the generated image to display
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generated_level.img.save("generated_level.png")
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generated_level.save("generated_level.txt")
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return generated_level.img, "generated_level.txt"
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# Define the function to play the generated level
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def play_generated_level(level_file):
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loaded_level = SampleOutput.load(level_file)
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loaded_level.play()
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return "Playing the level..."
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# Create the Gradio interface
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with gr.Blocks() as demo:
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gr.Markdown("## MARIOGPT Level Generator")
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with gr.Row():
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with gr.Column():
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prompt = gr.Textbox(lines=2, placeholder="Enter level description here...")
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num_steps = gr.Slider(400, 2000, step=100, label="Number of Steps")
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temperature = gr.Slider(0.5, 3.0, step=0.1, label="Temperature")
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generate_button = gr.Button("Generate Level")
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with gr.Column():
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level_image = gr.Image(type="pil")
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level_file = gr.File(label="Level File")
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generate_button.click(generate_mario_level, inputs=[prompt, num_steps, temperature], outputs=[level_image, level_file])
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gr.Markdown("## Play Generated Level")
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with gr.Row():
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with gr.Column():
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play_button = gr.Button("Play Level")
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play_result = gr.Textbox(label="Output")
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play_button.click(play_generated_level, inputs=[level_file], outputs=[play_result])
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# Launch the Gradio interface
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demo.launch()
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