Update app.py

app.py

@@ -10,9 +10,14 @@ from langchain.memory import ConversationBufferMemory
 from langchain.chains import ConversationalRetrievalChain
 from htmlTemplates import css, bot_template, user_template
 from langchain.llms import HuggingFaceHub
+import translators
 
 # set this key as an environment variable
 os.environ["HUGGINGFACEHUB_API_TOKEN"] = st.secrets['huggingface_token']
+###########################################################################################
+def trs_fa_to_en(text):
+  txt_en=translators.translate_text(text,to_language='en',from_language='auto')
+  return txt_en
 
 def get_pdf_text(pdf_docs : list) -> str:
     text = ""
@@ -67,6 +72,7 @@ def handle_userinput(user_question:str):
             st.write("سوال کاربر: " + message.content)
         else:
             st.write("پاسخ ربات: " + message.content)
+            
 
 
 def main():
@@ -88,7 +94,8 @@ def main():
 
     
     st.header("Chat with a Bot 🤖🦾 that tries to answer questions about multiple PDFs :books:")
-    user_question = st.text_input("Ask a question about your documents:")
+    user_question_t = st.text_input("Ask a question about your documents:")
+    user_question=trs_fa_to_en(text= user_question_t)
     if user_question:
         handle_userinput(user_question)
 
@@ -116,4 +123,4 @@ def main():
                 st.write("compelete build model")
 
 if __name__ == "__main__":
-    main()
+    main()