Create app.py

app.py

@@ -0,0 +1,7 @@
+import streamlit as st
+from transformers import pipeline
+
+transcriber = pipeline(model="openai/whisper-large-v2", device=0, batch_size=2)
+audio_filenames = [f"https://huggingface.co/datasets/Narsil/asr_dummy/resolve/main/{i}.flac" for i in range(1, 5)]
+texts = transcriber(audio_filenames)
+st.write(texts)