initial

app.py

@@ -0,0 +1,17 @@
+from transformers import pipeline
+import gradio as gr
+pipe = pipeline(model="pchopalli/whisper-small-or")
+
+def transcribe(audio):
+    text = pipe(audio)["text"]
+    return text
+
+demo = gr.Interface(
+    fn=transcribe,
+    inputs=gr.Audio(source="microphone", type="filepath"),
+    outputs="text",
+    title="Whisper Small Oriya",
+    description="Demo for Oriya speech recognition by fine-tuning a Whisper small model.",
+)
+
+demo.launch(share=True)