Update app.py

app.py

@@ -14,8 +14,8 @@ class Speech2Text:
 
     def wav2feature(self, path):
         speech_array, sampling_rate = torchaudio.load(path)
-        speech_array = librosa.resample(speech_array.squeeze().numpy(), sampling_rate, processor.feature_extractor.sampling_rate)
-        return processor(speech_array, return_tensors="pt", sampling_rate=processor.feature_extractor.sampling_rate)
+        speech_array = librosa.resample(speech_array.squeeze().numpy(), sampling_rate, self.processor.feature_extractor.sampling_rate)
+        return processor(speech_array, return_tensors="pt", sampling_rate=self.processor.feature_extractor.sampling_rate)
 
     def feature2logits(self, features):
         with torch.no_grad():