Update app.py

app.py

@@ -1,6 +1,7 @@
 import gradio as gr
 import numpy as np
 from difflib import Differ
+import librosa
 
 # import spaces #[uncomment to use ZeroGPU]
 import torch
@@ -32,6 +33,8 @@ def infer(
         wav = wav.mean(axis=1)
     wav = wav.astype(np.float32)
     wav /= np.max(np.abs(wav))
+
+    wav = librosa.resample(y=wav, orig_sr=sampling_rate, target_sr=16_000)
     
     user_pron = language.asr(wav)