[demo] refine code

app.py

@@ -15,11 +15,8 @@
 
 import json
 import gradio as gr
-# import torch
 import wenet
-# import librosa
 
-# wenet.set_log_level(2)
 # TODO: add hotword
 chs_model = wenet.load_model('chinese')
 en_model = wenet.load_model('english')
@@ -28,11 +25,8 @@ en_model = wenet.load_model('english')
 def recognition(audio, lang='CN'):
     if audio is None:
         return "Input Error! Please enter one audio!"
-    # y, _ = librosa.load(audio, sr=16000)
     # NOTE: model supports 16k sample_rate
-    # y = (y * (1 << 15)).astype("int16")
     if lang == 'CN':
-        # ans = chs_decoder.decode(y.tobytes(), True)
         ans = chs_model.transcribe(audio)
     elif lang == 'EN':
         ans = en_model.transcribe(audio)
@@ -41,10 +35,6 @@ def recognition(audio, lang='CN'):
 
     if ans is None:
         return "ERROR! No text output! Please try again!"
-    # NOTE: ans (json)
-    # {
-    #    'nbest' : [{"sentence" : ""}], 'type' : 'final_result
-    # }
     txt = ans['text']
     return txt
 

packages.txt

@@ -1 +0,0 @@
-sox