import gradio as gr
from transformers import pipeline
import torch

classifier = pipeline(
    "text-classification",
    model="Tirath5504/IPD-Text-Hinglish",
    device=0 if torch.cuda.is_available() else -1
)

def classify_text(text):
    result = classifier(text)
    return result[0]['label'], result[0]['score']

with gr.Interface(
    fn=classify_text, 
    inputs=[gr.Textbox(label="Input Text")],
    outputs=[gr.Textbox(label="Predicted Label"), gr.Number(label="Prediction Score")],
    live=False
) as demo:
    demo.launch()