app.py

import gradio as gr
from transformers import pipeline

# Load the spam classifier model
classifier = pipeline("text-classification", model="skandavivek2/spam-classifier")

def spam_detector(text):
    result = classifier(text)
    return "Spam" if result[0]['label'] == 'spam' else "Not Spam"

# Create Gradio UI
app = gr.Interface(
    fn=spam_detector,
    inputs=gr.Textbox(label="Enter a message"),
    outputs=gr.Textbox(label="Prediction"),
    title="Spam Detector",
    description="Enter a message to check if it's spam or not."
)

# Run the app
if __name__ == "__main__":
    app.launch()