added application file

app.py

@@ -5,9 +5,11 @@ import spacy
 import librosa
 import gradio as gr
 import pandas as pd
-from transformers import pipeline
+from transformers import pipeline, RobertaTokenizerFast, TFRobertaForSequenceClassification
 
 asr = pipeline('automatic-speech-recognition', model='facebook/wav2vec2-large-960h-lv60-self')
+tokenizer = RobertaTokenizerFast.from_pretrained("arpanghoshal/EmoRoBERTa")
+model = TFRobertaForSequenceClassification.from_pretrained("arpanghoshal/EmoRoBERTa")
 emo = pipeline('sentiment-analysis', model='arpanghoshal/EmoRoBERTa')
 lang_model = spacy.load("en_core_web_sm")