Add application file

app.py

@@ -0,0 +1,24 @@
+import gradio as gr
+from transformers import pipeline
+import os
+
+model_path = "d12o6aa/ArabGuard" 
+classifier = pipeline("text-classification", model=model_path)
+
+
+def predict(text, request: gr.Request):
+    results = classifier(text)[0]
+    return {"label": results['label'], "confidence": round(results['score'], 4)}
+
+
+demo = gr.Interface(
+    fn=predict,
+    inputs=gr.Textbox(label="Input Text (Slang/Franco)"),
+    outputs=gr.JSON(label="Security Analysis"),
+    title="ArabGuard API Gateway",
+    description="Secure API for detecting Prompt Injections in Egyptian Dialect."
+)
+
+
+if __name__ == "__main__":
+    demo.launch()