Add application file

app.py

@@ -0,0 +1,24 @@
+from transformers import pipeline
+import gradio as gr
+import time
+
+pipe = pipeline(
+    model="dvislobokov/whisper-large-v3-turbo-russian",
+    tokenizer="dvislobokov/whisper-large-v3-turbo-russian",
+    task='automatic-speech-recognition',
+    device='cpu'
+)
+
+def transcribe(audio):
+    start = time.time()
+    text = pipe(audio)['text']
+    print(time.time() - start)
+    return text
+
+iface = gr.Interface(
+    fn=transcribe,
+    inputs=gr.Audio(sources=['microphone', 'upload'], type='filepath'),
+    outputs='text'
+)
+
+iface.launch(share=True)