update text

app.py

@@ -17,7 +17,6 @@ api_token = os.getenv("API_TOKEN")
 model_name = "indonesian-nlp/wav2vec2-indonesian-javanese-sundanese"
 processor = Wav2Vec2Processor.from_pretrained(model_name, use_auth_token=api_token)
 model = Wav2Vec2ForCTC.from_pretrained(model_name, use_auth_token=api_token)
-
 def parse_transcription(wav_file):
     filename = wav_file.name.split('.')[0]
     convert(wav_file.name, filename + "16k.wav")
@@ -30,7 +29,7 @@ def parse_transcription(wav_file):
 
 
 
-output = gr.outputs.Textbox(label="Indonesian, Javanese or Sundanese")
+output = gr.outputs.Textbox(label="The transcript")
 
 input_ = gr.inputs.Audio(source="microphone", type="file")
 
@@ -40,7 +39,8 @@ gr.Interface(parse_transcription, inputs=input_,  outputs=[output],
              theme='huggingface',
              layout='vertical',
              title="Multilingual Speech Recognition for Indonesian Languages",
-             description="This is Speech Recognition Live Demo for Indonesian, Javanese and Sundanese Language. "
-                         "It uses the Wav2Vec2 large model \"indonesian-nlp/wav2vec2-indonesian-javanese-sundanese\""
-                         " which is fine-tuned on Common Voice and OpenSLR speech datasets.",
+             description="Speech Recognition Live Demo for Indonesian, Javanese and Sundanese Language",
+             article="This demo was built for the project [Multilingual Speech Recognition for Indonesian Languages](https://github.com/indonesian-nlp/multilingual-asr). "
+                     "It uses the Wav2Vec2 large model [indonesian-nlp/wav2vec2-indonesian-javanese-sundanese](https://huggingface.co/indonesian-nlp/wav2vec2-indonesian-javanese-sundanese) "
+                     "which was fine-tuned on Indonesian Common Voice, Javanese and Sundanese OpenSLR speech datasets.",
              enable_queue=True).launch( inline=False)