Update app.py

app.py

@@ -162,10 +162,9 @@ def main():
     st.markdown(hide_streamlit_style, unsafe_allow_html=True)
     is_cloud_button_pressed = st.text_input("Cloud Button Pressed", value="", type="hidden")
 
-
     # Main content
     st.title("Welcome to BinDocs ChatBot! 🤖")
-    
+
     # Directly specifying the path to the PDF file
     pdf_path = pdf_file_path
     if not os.path.exists(pdf_path):
@@ -186,53 +185,44 @@ def main():
     if pdf_path is not None:
         query = st.text_input("Ask questions about your PDF file (in any preferred language):")
 
-    # Replace st.button() with the cloud-shaped button using markdown
     st.markdown("""
     <button class="cloud-button" onclick="document.querySelector('input[type=\"hidden\"]').value = 'Was genau ist ein Belegarzt?';">
         <span>Was genau ist ein Belegarzt?</span>
     </button>
     """, unsafe_allow_html=True)
-        if st.button("Wofür wird die Alpha-ID verwendet?"):
-            query = "Wofür wird die Alpha-ID verwendet?"
 
+    if st.button("Wofür wird die Alpha-ID verwendet?"):
+        query = "Wofür wird die Alpha-ID verwendet?"
 
-            
-         if st.button("Ask") or is_cloud_button_pressed or (not st.session_state['chat_history'] and query) or (st.session_state['chat_history'] and query != st.session_state['chat_history'][-1][1]):
-            if is_cloud_button_pressed:
+    if st.button("Ask") or is_cloud_button_pressed or (not st.session_state['chat_history'] and query) or (st.session_state['chat_history'] and query != st.session_state['chat_history'][-1][1]):
+        if is_cloud_button_pressed:
             query = is_cloud_button_pressed
-            loading_message = st.empty()
-            loading_message.text('Bot is thinking...')
-
-            # Use the chatbot and PDF data from the session state
-            docs = st.session_state.pdf_data.similarity_search(query=query, k=3)
-            with get_openai_callback() as cb:
-                response = st.session_state.chatbot_instance.run(input_documents=docs, question=query)
 
+        loading_message = st.empty()
+        loading_message.text('Bot is thinking...')
+        docs = st.session_state.pdf_data.similarity_search(query=query, k=3)
+        with get_openai_callback() as cb:
+            response = st.session_state.chatbot_instance.run(input_documents=docs, question=query)
 
-            VectorStore = load_pdf(pdf_path)
-            chain = load_chatbot()
-            docs = VectorStore.similarity_search(query=query, k=3)
-            with get_openai_callback() as cb:
-                response = chain.run(input_documents=docs, question=query)
+        st.session_state['chat_history'].append(("Bot", response, "new"))
 
-            st.session_state['chat_history'].append(("Bot", response, "new"))
+        # Display new messages at the bottom
+        new_messages = st.session_state['chat_history'][-2:]
+        for chat in new_messages:
+            background_color = "#FFA07A" if chat[2] == "new" else "#acf" if chat[0] == "User" else "#caf"
+            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)
 
-            # Display new messages at the bottom
-            new_messages = st.session_state['chat_history'][-2:]
-            for chat in new_messages:
-                background_color = "#FFA07A" if chat[2] == "new" else "#acf" if chat[0] == "User" else "#caf"
-                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)
+        # Scroll to the latest response using JavaScript
+        st.write("<script>document.getElementById('response').scrollIntoView();</script>", unsafe_allow_html=True)
 
-            # Scroll to the latest response using JavaScript
-            st.write("<script>document.getElementById('response').scrollIntoView();</script>", unsafe_allow_html=True)
+        loading_message.empty()
 
-            loading_message.empty()
+        # Clear the input field by setting the query variable to an empty string
+        query = ""
 
-            # Clear the input field by setting the query variable to an empty string
-            query = ""
+    # Mark all messages as old after displaying
+    st.session_state['chat_history'] = [(sender, msg, "old") for sender, msg, _ in st.session_state['chat_history']]
 
-        # Mark all messages as old after displaying
-        st.session_state['chat_history'] = [(sender, msg, "old") for sender, msg, _ in st.session_state['chat_history']]