sort INTEL NAT output

app.py

@@ -82,7 +82,7 @@ def calc_mos(audio_path, ref):
     wav_vad = torchaudio.functional.vad(wav, sample_rate=sr)
     ppm = len(lst_phonemes) / (wav_vad.shape[-1] / sr) * 60
     
-    return AVA_MOS, trans, INTELI_score, phone_transcription, ppm
+    return AVA_MOS, INTELI_score, trans, phone_transcription, ppm
 
 
 description ="""
@@ -100,9 +100,9 @@ iface = gr.Interface(
   fn=calc_mos,
   inputs=[gr.Audio(type='filepath', label="Audio to evaluate"), 
           gr.Textbox(placeholder="Input reference here (Don't keep this empty)", label="Reference")],
-  outputs=[gr.Textbox(placeholder="Naturalness Score, ranged from 0 to 5, the higher the better.", label="Naturalness Score, ranged from 0 to 5, the higher the better."),
-           gr.Textbox(placeholder="Hypothesis", label="Hypothesis"),
+  outputs=[gr.Textbox(placeholder="Naturalness Score", label="Naturalness Score, ranged from 0 to 5, the higher the better."),
            gr.Textbox(placeholder="Intelligibility Score", label = "Intelligibility Score, range from 0 to 100, the higher the better"),
+           gr.Textbox(placeholder="Hypothesis", label="Hypothesis"),
            gr.Textbox(placeholder="Predicted Phonemes", label="Predicted Phonemes"),
            gr.Textbox(placeholder="Speaking Rate, Phonemes per minutes", label="PPM")],
   title="Laronix's Voice Quality Checking System Demo",