Update app.py

app.py

@@ -22,6 +22,7 @@ asr = pipeline("automatic-speech-recognition", model="jonatasgrosman/wav2vec2-la
 model = AutoModelForSeq2SeqLM.from_pretrained('hackathon-pln-es/t5-small-spanish-nahuatl')
 tokenizer = AutoTokenizer.from_pretrained('hackathon-pln-es/t5-small-spanish-nahuatl')
 
+new_line = '\n'
 
 def predict_and_ctc_lm_decode(input_file):
     speech = load_and_fix_data(input_file, sampling_rate)
@@ -30,7 +31,7 @@ def predict_and_ctc_lm_decode(input_file):
     input_ids = tokenizer('translate Spanish to Nahuatl: ' + transcribed_text, return_tensors='pt').input_ids
     outputs = model.generate(input_ids, max_length=512)
     outputs = tokenizer.batch_decode(outputs, skip_special_tokens=True)[0]
-    return f"Spanish Audio Transcription: {transcribed_text}  & the corresponding Nahuatl Translation is :{outputs}"
+    return f"Spanish Audio Transcription: {transcribed_text}  {new_line} The corresponding Nahuatl Translation is :{outputs}"
 
 
 gr.Interface(