Update app.py

app.py

@@ -4,6 +4,29 @@ import torch
 import librosa
 from transformers import AutoTokenizer, AutoModelForSequenceClassification, TextClassificationPipeline, AutoModelForTokenClassification, TokenClassificationPipeline, Wav2Vec2ForCTC, Wav2Vec2Processor, Wav2Vec2ProcessorWithLM
 
+# ASR
+model_name = "jonatasgrosman/wav2vec2-large-xlsr-53-english"
+processor_asr = Wav2Vec2Processor.from_pretrained(model_name)
+model_asr = Wav2Vec2ForCTC.from_pretrained(model_name)
+
+# Classifier Intent
+model_name = 'qanastek/XLMRoberta-Alexa-Intents-Classification'
+tokenizer_intent = AutoTokenizer.from_pretrained(model_name)
+model_intent = AutoModelForSequenceClassification.from_pretrained(model_name)
+classifier_intent = TextClassificationPipeline(model=model_intent, tokenizer=tokenizer_intent, device=0)
+
+# Classifier Language
+model_name = 'qanastek/51-languages-classifier'
+tokenizer_langs = AutoTokenizer.from_pretrained(model_name)
+model_langs = AutoModelForSequenceClassification.from_pretrained(model_name)
+classifier_language = TextClassificationPipeline(model=model_langs, tokenizer=tokenizer_langs, device=0)
+
+# NER Extractor
+model_name = 'qanastek/XLMRoberta-Alexa-Intents-NER-NLU'
+tokenizer_ner = AutoTokenizer.from_pretrained(model_name)
+model_ner = AutoModelForTokenClassification.from_pretrained(model_name)
+predict_ner = TokenClassificationPipeline(model=model_ner, tokenizer=tokenizer_ner, device=0)
+
 def greet(name):
     return "Hello " + name + "!!"