Update app.py

app.py

@@ -1,8 +1,11 @@
+from importlib.metadata import version
+
 import gradio as gr
 import numpy as np
 
 import onnx_asr
 
+print(f"onnx_asr version: {version('onnx_asr')}")
 models = {
     name: onnx_asr.load_model(name)
     for name in [
@@ -19,8 +22,11 @@ models = {
 
 def recoginize(audio: tuple[int, np.ndarray]):
     sample_rate, waveform = audio
-    waveform = waveform.astype(np.float32) / 2 ** (8 * waveform.itemsize - 1)
-    return [[name, model.recognize(waveform, sample_rate=sample_rate, language="ru")] for name, model in models.items()]
+    try:
+        waveform = waveform.astype(np.float32) / 2 ** (8 * waveform.itemsize - 1)
+        return [[name, model.recognize(waveform, sample_rate=sample_rate, language="ru")] for name, model in models.items()]
+    except Exception as e:
+        raise gr.Error(f"{e} Audio: sample_rate: {sample_rate}, waveform.shape: {waveform.shape}.") from e
 
 
 demo = gr.Interface(