requirements.txt

gradio
transformers
torch
sentencepiece

app.py

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+import gradio as gr
+from transformers import pipeline
+
+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"
+
+    results = classifier(text)[0]
+    output = ""
+    for r in results:
+        output += f"{r['label']}: {round(r['score']*100, 2)}%\n"
+    return output
+
+demo = gr.Interface(
+    fn=predict,
+    inputs=gr.Textbox(lines=4, placeholder="اكتب النص هنا..."),
+    outputs="text",
+    title="Arabic Speech Guard 🛡️",
+    description="Detect offensive Arabic content"
+)
+
+demo.launch()