Update app.py

app.py

@@ -80,7 +80,7 @@ def get_conversation_chain(vectorstore:FAISS) -> ConversationalRetrievalChain:
 
 
 def handle_userinput(user_question:str):
-    response = st.session_state.conversation({"question": user_question})
+    response = st.session_state.conversation({"pregunta": user_question})
     st.session_state.chat_history = response["chat_history"]
 
     for i, message in enumerate(st.session_state.chat_history):
@@ -96,8 +96,8 @@ def main():
         page_icon=":books:",
     )
 
-    st.markdown("# Chat with a Bot")
-    st.markdown("This bot tries to answer questions about multiple PDFs. Let the processing of the PDF finish before adding your question. 🙏🏾")
+    st.markdown("# Charla con TedCasBot")
+    st.markdown("Este Bot será tu aliado a la hora de buscar información en múltiples documentos pdf. Déjanos ayudarte! 🙏🏾")
 
     st.write(css, unsafe_allow_html=True)
 
@@ -108,20 +108,20 @@ def main():
         st.session_state.chat_history = None
 
     
-    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:")
+    st.header("Charla con un Bot 🤖🦾 que te ayudará a responder preguntas sobre tus pdfs:")
+    user_question = st.text_input("Haz tu pregunta!:")
     if user_question:
         handle_userinput(user_question)
 
     
     with st.sidebar:
         add_logo()
-        st.subheader("Your documents")
+        st.subheader("Tus documentos")
         pdf_docs = st.file_uploader(
-            "Upload your PDFs here and click on 'Process'", accept_multiple_files=True
+            "Sube tus documentos y haz click en 'Procesar'", accept_multiple_files=True
         )
-        if st.button("Process"):
-            with st.spinner("Processing"):
+        if st.button("Procesar"):
+            with st.spinner("Procesando"):
                 # get pdf text
                 raw_text = get_pdf_text(pdf_docs)