Update app.py

app.py

@@ -340,7 +340,7 @@ def airtable_write(json_template):
             
 def main():
     st.title("Qualitas Sales Data Collection Chatbot")
-    st.caption("Welcome to the Qualitas Bot. First upload a PDF document which should be customer correspondence, detailing some requirements. Notice when the bot is processing. There will be a Running icon on the top right")
+    st.caption("Welcome to the Qualitas Bot. First upload a PDF document which should be customer correspondence, detailing some requirements. Also sometimes the Submit button for the questions is a bit sticky. So You might have to click it twice!")
 
     # Initialize session state variables
     init_session_state()
@@ -372,7 +372,9 @@ def init_session_state():
 
 def process_document(uploaded_file):
     # Simulate file processing (replace with actual logic)
+    st.write("Parsing Document ...")
     st.session_state.text = extract_text_from_pdf(uploaded_file)
+    st.write("Running Classification Algorithm...")
     st.session_state.classification_result = classification_LLM(st.session_state.text)
     json_path='observationsJSON.json'
     with open(json_path, 'r') as file:
@@ -384,6 +386,7 @@ def process_document(uploaded_file):
         bizobj_json_template = json.load(file)
     final_bizobj_json = bizobjjsoncreate(bizobj_json_template, st.session_state.text)
     st.session_state.bizobj = final_bizobj_json
+    st.write("Creating Questions...")
     questionobs = question_create(final_obs_json)
     questionbizobj = question_create(final_bizobj_json)
     while True:
@@ -398,7 +401,7 @@ def process_document(uploaded_file):
             # Wait for 1 second before trying again
             time.sleep(1)
             continue
-    st.write(st.session_state.questions)
+    # st.write(st.session_state.questions)
     # Mark file as processed
     st.session_state.file_processed = True
     st.success("Document processed successfully.")
@@ -438,6 +441,7 @@ def show_question():
             
     else:
         # Display the answers after completing the questionnaire
+        st.success("Questions Complete! Please wait for final summary!")
         answers = [message["content"] for message in st.session_state.messages if message["role"] == "user"]
         # with st.chat_message("assistant"):
             # st.subheader("Answers")