app.py

import gradio as gr
from transformers import pipeline

# Load model from Hugging Face
classifier = pipeline(
    "text-classification",
    model="MennatullahHany/Arabic-Speech-Guard",
    tokenizer="MennatullahHany/Arabic-Speech-Guard",
    return_all_scores=True
)

def predict(text):
    if text.strip() == "":
        return "❌ Please enter Arabic text"

    outputs = classifier(text)[0]
    
    result = {item["label"]: round(item["score"], 3) for item in outputs}
    return result

interface = gr.Interface(
    fn=predict,
    inputs=gr.Textbox(lines=4, placeholder="اكتب نص عربي هنا..."),
    outputs=gr.JSON(label="Prediction"),
    title="🛡️ Arabic Speech Guard",
    description="Arabic offensive & harmful speech detection model"
)

interface.launch()