app.py

import gradio as gr
import transformers

pipe = transformers.pipeline("text2text-generation", model="ejschwartz/slade-x86-O3")

def predict(asm):
    o = pipe(asm, max_length=1024)
    return o[0]['generated_text']

demo = gr.Interface(fn=predict, inputs="text", outputs="text")
demo.queue()
demo.launch()