add submit button

app.py

@@ -58,6 +58,9 @@ with st.sidebar:
         "Upload documents", accept_multiple_files=True, type=["txt", "pdf"]
     )
 
+    # Inform the user how many documents have been loaded
+    st.success(f"{len(uploaded_files)} document(s) loaded...")
+
     # Input filter
     top_n = st.number_input(
         "Insert a number (top n rows to be selected):", value=5, step=1
@@ -66,9 +69,11 @@ with st.sidebar:
     # Use dictionary
     use_dict_format = st.checkbox("Use dictionary format.")
 
+    # Submit button
+    submit_it = st.sidebar.button("Submit", type="primary")
+
     # Clear button
     clear_button = st.sidebar.button("Clear Conversation", key="clear")
-
     # Credit
     current_year = current_year()  # This will print the current year
     st.markdown(
@@ -102,38 +107,36 @@ if uploaded_files is None:
 
 
 elif uploaded_files:
-    # Inform the user how many documents have been loaded
-    st.sidebar.success(f"{len(uploaded_files)} document(s) loaded...")
-
-    # Process the uploaded files to extract text and source information
-    textify_output = read_and_textify(uploaded_files)
+    if submit_it:
+        # Process the uploaded files to extract text and source information
+        textify_output = read_and_textify(uploaded_files)
 
-    # Separate the output into documents (text) and their corresponding sources
-    documents, sources = textify_output
+        # Separate the output into documents (text) and their corresponding sources
+        documents, sources = textify_output
 
-    # Call the function
-    query_database = list_to_nums(documents)
+        # Call the function
+        query_database = list_to_nums(documents)
 
-    # Create reference table
-    refs_tab = query_search(
-        "pful for understanding federal income", documents, query_database, sources
-    )
-    refs_tab.head(math.ceil(top_n))
-
-    # React to user input
-    if prompt := st.chat_input("What is up?"):
-        # Display user message in chat message container
-        st.chat_message("user").markdown(prompt)
-        # Add user message to chat history
-        st.session_state.messages.append({"role": "user", "content": prompt})
-
-        result = refs_tab
-
-        # Display assistant response in chat message container
-        with st.chat_message("assistant"):
-            if not use_dict_format:
-                st.table(result)
-            else:
-                st.write(result.to_json())
-        # Add assistant response to chat history
-        st.session_state.messages.append({"role": "assistant", "content": result})
+        # Create reference table
+        refs_tab = query_search(
+            "pful for understanding federal income", documents, query_database, sources
+        )
+        refs_tab.head(math.ceil(top_n))
+
+        # React to user input
+        if prompt := st.chat_input("What is up?"):
+            # Display user message in chat message container
+            st.chat_message("user").markdown(prompt)
+            # Add user message to chat history
+            st.session_state.messages.append({"role": "user", "content": prompt})
+
+            result = refs_tab
+
+            # Display assistant response in chat message container
+            with st.chat_message("assistant"):
+                if not use_dict_format:
+                    st.table(result)
+                else:
+                    st.write(result.to_json())
+            # Add assistant response to chat history
+            st.session_state.messages.append({"role": "assistant", "content": result})