Update app.py

app.py

@@ -27,7 +27,7 @@ os.environ["HUGGINGFACEHUB_API_TOKEN"] = st.secrets['huggingface_token']
 st.set_page_config(page_title="SemaNaPDF", page_icon="📚",)
 
 # Sema Translator
-Public_Url = 'https://lewiskimaru-helloworld.hf.space/' #endpoint
+Public_Url = 'https://lewiskimaru-helloworld.hf.space' #endpoint
 
 def translate(userinput, target_lang, source_lang=None):
     if source_lang:
@@ -42,7 +42,7 @@ def translate(userinput, target_lang, source_lang=None):
        print(type(result))
        source_lange = source_lang
        translation = result['translated_text']
-       return source_lange, translation
+       
     else:
       url = f"{Public_Url}/translate_detect/"
       data = {
@@ -54,7 +54,7 @@ def translate(userinput, target_lang, source_lang=None):
       result = response.json()
       source_lange = result['source_language']
       translation = result['translated_text']
-      return source_lange, translation
+    return source_lange, translation
 
 def get_pdf_text(pdf : Union[str, bytes, bytearray]) -> str:
     reader = PdfReader(pdf)
@@ -102,11 +102,11 @@ def get_conversation_chain(vectorstore:FAISS) -> ConversationalRetrievalChain:
 
 st.markdown("""
   <style>
-  div.stSpinner> {
+  .stSpinner {
     text-align:center;
     align-items: center;
     justify-content: center;
-  }div
+  }
   </style>""", unsafe_allow_html=True)
 
 
@@ -144,7 +144,7 @@ def main():
             
         user_langd, Queryd = translate(user_question, 'eng_Latn')
         st.session_state.messages.append({"role": "user", "content": user_question})
-        response = st.session_state.conversation({"question": user_question}) #Queryd
+        response = st.session_state.conversation({"question": Queryd}) #Queryd
         st.session_state.chat_history = response["chat_history"]
         
         output = translate(response['answer'], user_langd, 'eng_Latn')[1] # translated response