fixed type issue

gradio_asr_en_libri100_word_vs_bpe.py

@@ -46,10 +46,12 @@ def predict(wav_file):
     # Run inference
     W = model_word(speech)[0]
     B = model_bpe(speech)[0]
-    comparison = list(d.compare([W+'\n'], [B+'\n']))
+    word_decoded = W[0]
+    bpe_decoded = B[0]
+    comparison = list(d.compare([word_decoded+'\n'], [bpe_decoded+'\n']))
 
     logger.info('predicted')
-    return W[0], B[0], comparison
+    return word_decoded, bpe_decoded, comparison
 
 iface = gr.Interface(
     predict,