Create app.py

app.py

@@ -0,0 +1,29 @@
+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()