default true

app.py

@@ -67,10 +67,7 @@ with st.sidebar:
     )
 
     # Use dictionary
-    use_dict_format = st.checkbox("Use dictionary format.")
-
-    # Submit button
-    submit_it = st.sidebar.button("Submit", type="primary")
+    use_dict_format = st.checkbox("Use dictionary format.", value=True)
 
     # Clear button
     clear_button = st.sidebar.button("Clear Conversation", key="clear")
@@ -105,38 +102,36 @@ if uploaded_files is None:
     # Display a message prompting the user to upload files
     st.info("Upload files to analyze")
 
-
 elif uploaded_files:
-    if submit_it:
-        # Process the uploaded files to extract text and source information
-        textify_output = read_and_textify(uploaded_files)
+    # 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})