removed resampling

gradio_asr_en_libri100_word_vs_bpe.py

@@ -46,10 +46,10 @@ def predict(wav_file):
     logger.info('wav file loaded')
     # Load audio    
     # speech, rate = librosa.load(wav_file, sr=16000)
-    rate, speech_raw = wavfile.read(wav_file)
-    number_of_samples = round(len(speech_raw) * float(16000) / rate)
-    speech = sps.resample(speech_raw, number_of_samples)
-    
+    rate, speech = wavfile.read(wav_file)
+    # number_of_samples = round(len(speech_raw) * float(16000) / rate)
+    # speech = sps.resample(speech_raw, number_of_samples)
+
     # Run inference
     W = model_word(speech)[0]
     B = model_bpe(speech)[0]