Update app.py

app.py

@@ -82,7 +82,7 @@ def inference(audio, model_tag="hifigan_bn_tdnnf_wav2vec2_vq_48_v1"):
   audio = torchaudio.transforms.Resample(orig_freq=sr,
                                          new_freq=16000)(audio)
   print(model_tag, file=sys.stderr)
-  model = torch.hub.load("deep-privacy/SA-toolkit", "anonymization", tag_version=model_tag, trust_repo=True)
+  model = torch.hub.load("deep-privacy/SA-toolkit", "anonymization", tag_version=model_tag, trust_repo=True, force_reload=True)
   model.eval()
   wav_conv = model.convert(audio, target="6081") # hard coded target
   return 16000, float2pcm(wav_conv.squeeze().cpu().numpy())