Update app.py

app.py

@@ -3,7 +3,7 @@ import soundfile as sf
 from scipy import signal
 import numpy as np
 import torch, torchaudio
-from transformers import Wav2Vec2ForCTC, Wav2Vec2Processor
+from transformers import Wav2Vec2ForCTC, Wav2Vec2Processor, pipeline
 
 MODEL_IS="carlosdanielhernandezmena/wav2vec2-large-xlsr-53-icelandic-ep10-1000h"
 MODEL_FO="carlosdanielhernandezmena/wav2vec2-large-xlsr-53-faroese-100h"
@@ -17,6 +17,9 @@ model_fo = Wav2Vec2ForCTC.from_pretrained(MODEL_FO).to(device)
 processor_fo = Wav2Vec2Processor.from_pretrained(MODEL_FO) 
 
 
+pipe_is = pipeline(model=MODEL_IS)
+
+
 def readwav(a_f):
     wav, sr = sf.read(a_f, dtype=np.float32)
     if len(wav.shape) == 2:
@@ -38,7 +41,9 @@ def recc(audio_file,model,processor):
 
     
 def recis(audio_file):
-    return recc(audio_file,model_is,processor_is)
+    output = pipe(audio_file, chunk_length_s=10, stride_length_s=(4, 2))
+    return output
+    #return recc(audio_file,model_is,processor_is)
 
 def recfo(audio_file):
     return recc(audio_file,model_fo,processor_fo)