added demo gradio app

app.py

@@ -1,3 +1,18 @@
+from transformers import pipeline
 import gradio as gr
 
-gr.Interface.load("models/msis/whisper-tiny-ar-quran").launch()
+pipe = pipeline(model="tarteel-ai/whisper-tiny-ar-quran")  # change to "your-username/the-name-you-picked"
+
+def transcribe(audio):
+    text = pipe(audio)["text"]
+    return text
+
+iface = gr.Interface(
+    fn=transcribe, 
+    inputs=gr.Audio(source="microphone", type="filepath"), 
+    outputs="text",
+    title="Whisper Tiny for Quranic Arabic",
+    description="Realtime demo for Quran speech recognition using a fine-tuned Whisper tiny model.",
+)
+
+iface.launch()