Update app.py

app.py

@@ -183,7 +183,7 @@ model = SpeechRecognitionModel(
         hparams['n_cnn_layers'], hparams['n_rnn_layers'], hparams['rnn_dim'],
         hparams['n_class'], hparams['n_feats'], hparams['stride'], hparams['dropout']
         )
-model = torch.load(f=" https://git-lfs.github.com/spec/v1")
+model = torch.load(f="NeerAbhy/Speech_recognotion_model")
 
 def prediction(audio):
     valid_audio_transforms = torchaudio.transforms.MelSpectrogram(sample_rate = 16000)