created app.py

app.py

@@ -0,0 +1,15 @@
+pipe = pipeline(model = "suvrobaner/whisper-small-finetuned-hi-commonvoice")
+
+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 Small Hindi Transcribe",
+    description="Realtime demo for Hindi speech recognition using a fine-tuned Whisper small model on Common Voice dataset.",
+)
+
+iface.launch()