Create app file

app.py

@@ -0,0 +1,21 @@
+import gradio as gr
+import mlx_whisper
+
+def transcribe(audio):
+    text = mlx_whisper.transcribe(
+        audio,
+        path_or_hf="Kimang18/whisper-tiny-khmer-mlx-fp32",
+        fp16=False,
+        condition_on_previous_text=False,
+    )['text']
+    return text
+
+iface = gr.Interface(
+    fn=transcribe,
+    inputs=gr.Audio(type="filepath", waveform_options={"sample_rate": 16000}),
+    outputs="text",
+    title="Whisper Tiny Khmer",
+    description="Realtime demo for Khmer speech transcription using a fine-tuned Whisper tiny model.",
+)
+
+iface.launch(share=False)