Update app.py

app.py

@@ -70,8 +70,7 @@ api_key = os.getenv("OPENAI_API_KEY")
 
 
 
-# Updated load_vector_store function with Streamlit text outputs and directory handling for Git
-@st.cache_data(persist="disk")
+@st.cache_resource
 def load_vector_store(file_path, store_name, force_reload=False):
     local_repo_path = "Private_Book"
     vector_store_path = os.path.join(local_repo_path, f"{store_name}.pkl")
@@ -233,8 +232,8 @@ def save_conversation(chat_histories, session_id):
         
 def display_session_id():
     session_id = st.session_state['session_id']
-    st.sidebar.markdown(f"**Your Session ID:** `{session_id}`")
-    st.sidebar.markdown("Use this ID for reference in communications or feedback.")
+    st.sidebar.markdown(f"**Ihre Session ID:** `{session_id}`")
+    st.sidebar.markdown("Verwenden Sie diese ID als Referenz bei Mitteilungen oder Rückmeldungen.")
 
 
 def page1():
@@ -251,7 +250,7 @@ def page1():
         col1, col2 = st.columns([3, 1])  # Adjust the ratio to your liking
 
         with col1:
-            st.title("KH_reform!")
+            st.title("Alles zur aktuellen Krankenhausreform!")
 
         with col2:
             # Load and display the image in the right column, which will be the top-right corner of the page
@@ -302,51 +301,50 @@ def page1():
         if query:
             full_query = ask_bot(query)
             st.session_state['chat_history_page1'].append(("User", query, "new"))
-
+        
             # Start timing
             start_time = time.time()
-            
-            with st.spinner('Bot is thinking...'):
+        
+            # Create a placeholder for the response time
+            response_time_placeholder = st.empty()
+        
+            # Include the spinner around all processing and display operations
+            with st.spinner('Eve denkt über Ihre Frage nach...'):
                 chain = load_chatbot()
                 docs = VectorStore.similarity_search(query=query, k=5)
                 with get_openai_callback() as cb:
                     response = chain.run(input_documents=docs, question=full_query)
-                    response = handle_no_answer(response)  # Process the response through the new function
-
-
-                    
-            # Stop timing
-            end_time = time.time()
-            
-            # Calculate duration
-            duration = end_time - start_time
-            st.text(f"Response time: {duration:.2f} seconds")
-
-            st.session_state['chat_history_page1'].append(("Bot", response, "new"))
-
-            # Combine chat histories from all pages
-            all_chat_histories = [
-                st.session_state['chat_history_page1'],
-                st.session_state['chat_history_page2'],
-                st.session_state['chat_history_page3']
-            ]
-
-            # Save the combined chat histories
-            save_conversation(all_chat_histories, st.session_state['session_id'])
-
-
-
-
-            # Display new messages at the bottom
-            new_messages = st.session_state['chat_history_page1'][-2:]
-            for chat in new_messages:
-                background_color = "#ffeecf" if chat[2] == "new" else "#ffeecf" if chat[0] == "User" else "#ffeecf"
-                new_messages_placeholder.markdown(f"<div style='background-color: {background_color}; padding: 10px; border-radius: 10px; margin: 10px;'>{chat[0]}: {chat[1]}</div>", unsafe_allow_html=True)
-
-
-            
+                    response = handle_no_answer(response)
+        
+                # Stop timing
+                end_time = time.time()
+        
+                # Calculate duration
+                duration = end_time - start_time
+        
+                st.session_state['chat_history_page1'].append(("Eve", response, "new"))
+        
+                # Combine chat histories from all pages
+                all_chat_histories = [
+                    st.session_state['chat_history_page1'],
+                    st.session_state['chat_history_page2'],
+                    st.session_state['chat_history_page3']
+                ]
+        
+                # Save the combined chat histories
+                save_conversation(all_chat_histories, st.session_state['session_id'])
+        
+                # Display new messages at the bottom
+                new_messages = st.session_state['chat_history_page1'][-2:]
+                for chat in new_messages:
+                    background_color = "#ffeecf" if chat[2] == "new" else "#ffeecf" if chat[0] == "User" else "#ffeecf"
+                    new_messages_placeholder.markdown(f"<div style='background-color: {background_color}; padding: 10px; border-radius: 10px; margin: 10px;'>{chat[0]}: {chat[1]}</div>", unsafe_allow_html=True)
+        
+                # Update the response time placeholder after the messages are displayed
+                response_time_placeholder.text(f"Response time: {duration:.2f} seconds")
+        
             # Clear the input field after the query is made
-            query = ""
+            query = ""       
 
         # Mark all messages as old after displaying
         st.session_state['chat_history_page1'] = [(sender, msg, "old") for sender, msg, _ in st.session_state['chat_history_page1']]
@@ -371,7 +369,7 @@ def page2():
         col1, col2 = st.columns([3, 1])  # Adjust the ratio to your liking
 
         with col1:
-            st.title("Kennzahlenbuch 100 Kennzahlen!")
+            st.title("Die wichtigsten 100 Kennzahlen und KPIs!")
 
         with col2:
             # Load and display the image in the right column, which will be the top-right corner of the page
@@ -395,7 +393,7 @@ def page2():
 
         new_messages_placeholder = st.empty()
 
-        query = st.text_input("Ask questions about your PDF file (in any preferred language):")
+        query = st.text_input("Geben Sie hier Ihre Frage ein / Enter your question here:")
 
         add_vertical_space(2)  # Adjust as per the desired spacing
         
@@ -427,8 +425,11 @@ def page2():
 
             # Start timing
             start_time = time.time()
+
+            # Create a placeholder for the response time
+            response_time_placeholder = st.empty()
             
-            with st.spinner('Bot is thinking...'):
+            with st.spinner('Eve denkt über Ihre Frage nach...'):
                 chain = load_chatbot()
                 docs = VectorStore.similarity_search(query=query, k=5)
                 with get_openai_callback() as cb:
@@ -442,9 +443,8 @@ def page2():
             
             # Calculate duration
             duration = end_time - start_time
-            st.text(f"Response time: {duration:.2f} seconds")
             
-            st.session_state['chat_history_page2'].append(("Bot", response, "new"))
+            st.session_state['chat_history_page2'].append(("Eve", response, "new"))
 
 
             # Combine chat histories from all pages
@@ -462,8 +462,10 @@ def page2():
             for chat in new_messages:
                 background_color = "#ffeecf" if chat[2] == "new" else "#ffeecf" if chat[0] == "User" else "#ffeecf"
                 new_messages_placeholder.markdown(f"<div style='background-color: {background_color}; padding: 10px; border-radius: 10px; margin: 10px;'>{chat[0]}: {chat[1]}</div>", unsafe_allow_html=True)
-
-
+    
+                # Update the response time placeholder after the messages are displayed
+                response_time_placeholder.text(f"Response time: {duration:.2f} seconds")
+                
             # Clear the input field after the query is made
             query = ""
 
@@ -514,7 +516,7 @@ def page3():
 
         new_messages_placeholder = st.empty()
 
-        query = st.text_input("Ask questions about your PDF file (in any preferred language):")
+        query = st.text_input("Geben Sie hier Ihre Frage ein / Enter your question here:")
 
         add_vertical_space(2)  # Adjust as per the desired spacing
         
@@ -547,7 +549,10 @@ def page3():
             # Start timing
             start_time = time.time()
             
-            with st.spinner('Bot is thinking...'):
+            # Create a placeholder for the response time
+            response_time_placeholder = st.empty()
+            
+            with st.spinner('Eve denkt über Ihre Frage nach...'):
                 chain = load_chatbot()
                 docs = VectorStore.similarity_search(query=query, k=5)
                 with get_openai_callback() as cb:
@@ -561,9 +566,8 @@ def page3():
             
             # Calculate duration
             duration = end_time - start_time
-            st.text(f"Response time: {duration:.2f} seconds")
 
-            st.session_state['chat_history_page3'].append(("Bot", response, "new"))
+            st.session_state['chat_history_page3'].append(("Eve", response, "new"))
 
             # Combine chat histories from all pages
             all_chat_histories = [
@@ -581,8 +585,10 @@ def page3():
             for chat in new_messages:
                 background_color = "#ffeecf" if chat[2] == "new" else "#ffeecf" if chat[0] == "User" else "#ffeecf"
                 new_messages_placeholder.markdown(f"<div style='background-color: {background_color}; padding: 10px; border-radius: 10px; margin: 10px;'>{chat[0]}: {chat[1]}</div>", unsafe_allow_html=True)
+        
+            # Update the response time placeholder after the messages are displayed
+            response_time_placeholder.text(f"Response time: {duration:.2f} seconds")
 
-            
 
             # Clear the input field after the query is made
             query = ""
@@ -596,7 +602,7 @@ def page3():
 
 def page4():
     try: 
-        st.header(":mailbox: Get In Touch With Me!")
+        st.header(":mailbox: Kontakt & Feedback!")
         st.markdown("Ihre Session-ID finden Sie auf der linken Seite!")
 
         contact_form = """
@@ -628,31 +634,31 @@ def page4():
 def display_session_id():
     session_id = st.session_state['session_id']
     st.sidebar.markdown(f"**Your Session ID:** `{session_id}`")
-    st.sidebar.markdown("Use this ID for reference in communications or feedback.")
+    st.sidebar.markdown("Verwenden Sie diese ID als Referenz bei Mitteilungen oder Rückmeldungen.")
 
 # Main function
 def main():
     # Sidebar content
     with st.sidebar:
         st.title('BinDoc GmbH')
-        st.markdown("Experience revolutionary interaction with BinDocs Chat App, leveraging state-of-the-art AI technology.")
+        st.markdown("Tauchen Sie ein in eine revolutionäre Erfahrung mit BinDocs Chat-App - angetrieben von fortschrittlichster KI-Technologie.")
         add_vertical_space(1)
-        page = st.sidebar.selectbox("Choose a page", ["KH_Reform", "Kennzahlenbuch 100 Kennzahlen", "Kosten- und Strukturdaten der Krankenhäuser", "Form"])
+        page = st.sidebar.selectbox("Wählen Sie eine Seite aus:", ["Krankenhausreform!", "Kennzahlen und KPIs!", "Kosten- und Strukturdaten", "Kontakt & Feedback!"])
         add_vertical_space(4)
         display_session_id()  # Display the session ID in the sidebar
         st.write('Made with ❤️ by BinDoc GmbH')
 
         
     # Main area content based on page selection
-    if page == "KH_Reform":
+    if page == "Krankenhausreform!":
         page1()
-    elif page == "Kennzahlenbuch 100 Kennzahlen":
+    elif page == "Kennzahlen und KPIs!":
         page2()
-    elif page == "Kosten- und Strukturdaten der Krankenhäuser":
+    elif page == "Kosten- und Strukturdaten":
         page3()
-    elif page == "Form":
+    elif page == "Kontakt & Feedback!":
         page4()
 
 
 if __name__ == "__main__":
-    main()
+    main()