add paddings

model.py

@@ -126,9 +126,13 @@ def decode_online_recognizer_sherpa_onnx(
 ) -> str:
     s = recognizer.create_stream()
     samples, sample_rate = read_wave(filename)
+
+    left_paddings = np.zeros(int(0.3 * sample_rate), dtype=np.float32)
+    s.accept_waveform(sample_rate, left_paddings)
+
     s.accept_waveform(sample_rate, samples)
 
-    tail_paddings = np.zeros(int(0.3 * sample_rate), dtype=np.float32)
+    tail_paddings = np.zeros(int(0.6 * sample_rate), dtype=np.float32)
     s.accept_waveform(sample_rate, tail_paddings)
     s.input_finished()