add example wav file and update readme

README.md

@@ -87,13 +87,22 @@ Please notice that we encourage you to read our tutorials and learn more about
 ```python
 from speechbrain.pretrained import SepformerSeparation as Separator
 from speechbrain.pretrained import WhisperASR
-
-enh_model = Separator.from_hparams(source="speechbrain/noisy-whisper-resucespeech", savedir='pretrained_models/noisy-whisper-resucespeech')
-asr_model = WhisperASR.from_hparams(source="speechbrain/noisy-whisper-resucespeech", savedir="pretrained_models/noisy-whisper-resucespeech")
+import torch
+
+enh_model = Separator.from_hparams(
+                                source="speechbrain/noisy-whisper-resucespeech", 
+                                savedir='pretrained_models/noisy-whisper-resucespeech',
+                                hparams_file="enhance.yaml"
+                                )
+asr_model = WhisperASR.from_hparams(
+                                  source="speechbrain/noisy-whisper-resucespeech", 
+                                  savedir="pretrained_models/noisy-whisper-resucespeech",
+                                  hparams_file="asr.yaml"
+                                  )
 
 # For custom file, change the path accordingly
 est_sources = enh_model.separate_file(path='example_rescuespeech16k.wav')
-print(asr_model(est_sources[:, :, 0]))
+pred_words, _ = asr_model(est_sources[:, :, 0], torch.tensor([1.0]))
 ```
 ### Inference on GPU
 To perform inference on the GPU, add  `run_opts={"device":"cuda"}`  when calling the `from_hparams` method.