DID.py

import gradio as gr
from transformers import pipeline

# Initialize the classifier pipeline
classifier = pipeline("text-classification", model="rahbi/alclam-base-v1-DID")

# Define the prediction function
def classify_text(text):
    result = classifier(text)
    return result

# Create the Gradio interface
iface = gr.Interface(
    fn=classify_text,
    inputs="text",
    outputs="json",
    title="Arabic Text Classifier",
    description="Classify Arabic text using the rahbi/alclam-base-v1-DID model."
)

# Launch the interface
iface.launch()