Update app.py

app.py

@@ -118,9 +118,9 @@ def predict_and_ctc_lm_decode(input_file, speaker_idx: str=None):
 
 description = """This is a Gradio demo for generating gender-neutralized audios. To use it, simply provide an audio input (via microphone or audio recording), which will then be transcribed and gender-neutralized using pre-trained models. Finally, with the help of Coqui's TTS model, gender neutralized audio is generated.
 
-Pre-trained model used for Spanish ASR: [Please Click Here](https://huggingface.co/jonatasgrosman/wav2vec2-xls-r-1b-spanish)
+Pre-trained model used for Spanish ASR: [jonatasgrosman/wav2vec2-xls-r-1b-spanish](https://huggingface.co/jonatasgrosman/wav2vec2-xls-r-1b-spanish)
 
-Pre-trained model used for Gender Neutralization: [Please Click Here](https://huggingface.co/hackathon-pln-es/es_text_neutralizer)
+Pre-trained model used for Gender Neutralization: [hackathon-pln-es/es_text_neutralizer](https://huggingface.co/hackathon-pln-es/es_text_neutralizer)
 
 Pre-trained model used for TTS: 🐸💬 CoquiTTS => model_name = "es/mai/tacotron2-DDC"