import gradio as gr
from transformers import pipeline

model = pipeline("text-classification", model="xlm-roberta-large")

def decision_making(option1, option2):
    options = [option1, option2]
    result = model(options, return_all_scores=True)
    if result[0]['score'] > result[1]['score']:
        return f"The AI chooses {option1}."
    else:
        return f"The AI chooses {option2}."

iface = gr.Interface(fn=decision_making, inputs=["text", "text"], outputs="text", title="Decision Making with XLM-RoBERTa-Large",
                     description="Enter two options and the AI will choose one.")
iface.launch()