Update app.py

app.py

@@ -21,8 +21,7 @@ embeddings_dataset = load_dataset("Matthijs/cmu-arctic-xvectors", split="validat
 speaker_embeddings = torch.tensor(embeddings_dataset[7306]["xvector"]).unsqueeze(0)
 
 
-replacements = {'á': 'a', 'é': 'e', 'í': 'i', 'ó': 'o', 'ú': 'u', '¿': '', '?': '', '1': 'uno', '2':'dos','3':'tres', '4':'cuatro', '5':'cinco',
-               '6', 'seis', '7':'siete', '8':'ocho', '9':'nueve', '0':'cero'}
+replacements = {'á': 'a', 'é': 'e', 'í': 'i', 'ó': 'o', 'ú': 'u', '¿': '', '?': '', '1': 'uno', '2':'dos','3':'tres', '4':'cuatro', '5':'cinco', '6': 'seis', '7':'siete', '8':'ocho', '9':'nueve', '0':'cero'}
 
 def normalize_replace_string(input_string, replacements):
     normalized_string = re.sub(r'\s+', ' ', input_string).strip().lower()