Create app.py

app.py

@@ -0,0 +1,18 @@
+from transformers import pipeline
+import gradio as gr
+
+pipe = pipeline(model="SharatChandra/whisper-fine-banking-dataset")  # change to "your-username/the-name-you-picked"
+
+def transcribe(audio):
+    text = pipe(audio, generate_kwargs  = {"task":"translate", "language":"english"})["text"]
+    return text
+
+iface = gr.Interface(
+    fn=transcribe,
+    inputs=gr.Audio(type="filepath"),
+    outputs="text",
+    title="Whisper Medium Bank Domain",
+    description="Realtime demo for Banking Domain speech recognition using a fine-tuned Whisper medium model.",
+)
+
+iface.launch()