init

app.py

@@ -0,0 +1,13 @@
+from transformers import pipeline
+import gradio as gr
+import numpy as np
+
+pipe = pipeline(model="openai/whisper-tiny")
+
+def asr(test_file):        
+    return pipe(test_file, max_new_tokens=100) 
+
+def gradio_asr(test_file):
+    return asr(test_file.name)
+
+gr.Interface(fn=gradio_asr, inputs='file', outputs='text').launch(share=True)

requirements.txt

@@ -0,0 +1,4 @@
+soundfile
+torch
+numpy
+transformers