Create app.py

app.py

@@ -0,0 +1,22 @@
+from transformers import pipeline
+import gradio as gr
+
+pipe = pipeline(
+    model="anggiatm/whisper-small-id"
+)  # 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(type="filepath"),
+    outputs="text",
+    title="Whisper Small Indonesian",
+    description="Realtime demo for Indonesian speech recognition using a fine-tuned Whisper small model.",
+)
+
+iface.launch()