import gradio as gr
from transformers import pipeline

pipe = pipeline("text-classification", model="mgb-dx-meetup/xlm-roberta-finetuned-sentiment")

def predict(text):
    preds = pipe(text)[0]
    return preds["label"], round(preds["score"], 5)
    
gradio_ui = gr.Interface(
    fn=predict,
    title="Predicting review scores from customer reviews",
    description="Enter some review text about a product and check what the model predicts for it's star rating.",
    inputs=[
        gr.inputs.Textbox(lines=5, label="Paste some text here"),
    ],
    outputs=[
        gr.outputs.Textbox(label="Label"),
        gr.outputs.Textbox(label="Score"),
    ],
    examples=[
        ["The product is perfect for my classroom. It provides a wonderful flex seating option. The company also was supportive when I had a small issue. Great customer service!"], ["Für kleinen Umzug ganz ok"], ["Pratique mais pas très absorbant. Dommage."]
    ],
)

gradio_ui.launch()