Create app.py

app.py

@@ -0,0 +1,20 @@
+from transformers import pipeline
+import gradio as gr
+
+pipe = pipeline(model="divakaivan/whisper-small-hi_test")
+
+def transcribe(audio):
+    print(audio)
+    print(type(audio))
+    text = pipe(audio)["text"]
+    return text
+
+iface = gr.Interface(
+    fn=transcribe,
+    inputs=gr.Audio(type="filepath"),
+    outputs="text",
+    title="Whisper Small Glaswegian",
+    description="Realtime demo for Glaswegian speech recognition using a fine-tuned Whisper small model.",
+)
+
+iface.launch()