added

app.py

@@ -2,13 +2,17 @@ import gradio as gr
 from transformers import pipeline
 from espnet2.bin.tts_inference import Text2Speech
 import warnings
+from krill_to_latin import Perevod
 
+
+perevod  = Perevod()
 warnings.filterwarnings('ignore')
 
 
 def generateTextAndAudio(inputText, numGen):
     # --- Generating the Text ---
     # With the provided text from user, generate more text up to `numGen` tokens/sub-words
+    inputText = perevod.translate_for_summarizer(inputText)
     textOutput = textGenerator(inputText, max_length=numGen)
     # The output of the text generator is a list of dictionaries, grab the first dictionary
     # then get the generated text from the dictionary using the `generated_text` key