Create app.py

app.py

@@ -0,0 +1,24 @@
+import os
+from transformers import pipeline
+import gradio as gr
+
+# Create a pipeline for speech recognition using the chosen model
+pipe = pipeline(model="tarteel-ai/whisper-base-ar-quran", 
+                use_auth_token=os.environ["HF_TARTEEL_TOKEN"])  # change to "your-username/the-name-you-picked"
+
+# Define a function that transcribes audio using the pipeline
+def transcribe(audio):
+    text = pipe(audio)["text"]
+    return text
+
+# Create an interface for real-time speech recognition
+iface = gr.Interface(
+    fn=transcribe, 
+    inputs=gr.Audio(source="microphone", type="filepath"), 
+    outputs="text",
+    title="Whisper Base for Quranic Arabic",
+    description="Realtime demo for Quran speech recognition using a fine-tuned Whisper base model.",
+)
+
+# Launch the interface
+iface.launch()