app.py

import gradio as gr
from transformers import pipeline

# Load the classification pipeline from your model on the hub
classifier = pipeline("text-classification", model="Mahmoud3899/Boolean_new")

def classify_text(text):
    results = classifier(text)
    # Format output nicely
    return {res["label"]: round(res["score"], 4) for res in results}

# Build Gradio UI
gr.Interface(
    fn=classify_text,
    inputs=gr.Textbox(lines=3, placeholder="Enter your text here..."),
    outputs="label",
    title="Boolean Classifier",
    description="A classification model by Mahmoud3899"
).launch()