Update utils.py

utils.py

@@ -13,7 +13,6 @@ from   langchain.text_splitter     import RecursiveCharacterTextSplitter
 from   langchain.chains            import RetrievalQA
 from   langchain.document_loaders  import TextLoader
 from   langchain.embeddings        import HuggingFaceEmbeddings, OpenAIEmbeddings
-from   googletrans                 import Translator
 import streamlit as st
 import together
 import textwrap
@@ -147,11 +146,10 @@ def get_gpt_response(query):
     )
     return rag_chain.invoke(query)
 
-# -- Python function to setup basic features: translator, SpaCy pipeline and LLM model
+# -- Python function to setup basic features: SpaCy pipeline and LLM model
 @st.cache_resource
 def setup_app(transcription_path, emb_model, model, _logger):
     # -- Setup enviroment and features
-    translator = Translator(service_urls=['translate.googleapis.com'])
     nlp        = spacy.load('es_core_news_lg')
 
     _logger.info('Setup environment and features...')
@@ -199,7 +197,7 @@ def setup_app(transcription_path, emb_model, model, _logger):
     retriever = vectordb.as_retriever(search_kwargs={"k": 5})
     _logger.info('Creating document database - FINISHED!')
     _logger.info('Setup finished!')
-    return translator, nlp, retriever
+    return nlp, retriever
 
 # -- Function to get prompt template
 def get_prompt(instruction, system_prompt, b_sys, e_sys, b_inst, e_inst, _logger):