Update handler.py

handler.py

@@ -28,7 +28,7 @@ class EndpointHandler():
         audio_nparray = np.frombuffer(audio_data, dtype=np.int16)
 
         # prepare pynannote input
-        audio_tensor= torch.from_numpy(audio_nparray).unsqueeze(0)
+        audio_tensor= torch.from_numpy(audio_nparray).float().unsqueeze(0)
         pyannote_input = {"waveform": audio_tensor, "sample_rate": SAMPLE_RATE}
         
         # apply pretrained pipeline