Update app.py

app.py

@@ -11,6 +11,8 @@ processor = Wav2Vec2ProcessorWithLM.from_pretrained(model_name)
 model = Wav2Vec2ForCTC.from_pretrained(model_name)
 pipe = pipeline("automatic-speech-recognition", model=model, tokenizer=processor, feature_extractor=processor.feature_extractor, decoder=processor.decoder) 
 
+detokenize_dict = {value: key for key, value in processor.tokenizer.get_vocab().items()}
+
 dict_v = ["а", "у" "о" "и" "э" "ы" "я" "ю" "е" "ё"]
 
 def count_char_borders(predicted_ids, input_values, processor, sample_rate=16000):