Update app.py

app.py

@@ -1,11 +1,14 @@
 import gradio as gr
 from transformers import pipeline
 import numpy as np
+import librosa
 
 transcriber = pipeline("automatic-speech-recognition", model="Oysiyl/w2v-bert-2.0-ukrainian-colab-CV16.0")
 
 def transcribe(audio):
     sr, y = audio
+    if sr != 16000:
+        y = librosa.resample(y, orig_sr=sr, target_sr=16000)
     y = y.astype(np.float32)
     y /= np.max(np.abs(y))