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import gradio as gr
import transformers
pipe = pipeline("text2text-generation", model="ejschwartz/slade-x86-O3")
def predict(asm):
return pipe(asm, max_length=1024)
demo = gr.Interface(fn=predict, inputs="text", outputs="text")
demo.launch()
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