Update src/streamlit_app.py

src/streamlit_app.py

@@ -51,6 +51,9 @@ FIXED_CATEGORY_MAPPING = {
 }
 REVERSE_FIXED_CATEGORY_MAPPING = {label: category for category, label_list in FIXED_CATEGORY_MAPPING.items() for label in label_list}
 
+# --- Default Custom Labels (New Requirement) ---
+DEFAULT_CUSTOM_LABELS = "product_name, medical_symptom, customer_id, internal_project"
+
 # --- Dynamic Color Generator for Custom Labels ---
 COLOR_PALETTE = cycle(px.colors.qualitative.Alphabet)
 
@@ -541,7 +544,9 @@ if 'results_df' not in st.session_state: st.session_state.results_df = pd.DataFr
 if 'elapsed_time' not in st.session_state: st.session_state.elapsed_time = 0.0
 if 'topic_results' not in st.session_state: st.session_state.topic_results = None
 if 'my_text_area' not in st.session_state: st.session_state.my_text_area = DEFAULT_TEXT
-if 'custom_labels_input' not in st.session_state: st.session_state.custom_labels_input = ""
+# --- UPDATED: Pre-populate custom labels input ---
+if 'custom_labels_input' not in st.session_state: st.session_state.custom_labels_input = DEFAULT_CUSTOM_LABELS
+# --- END UPDATED ---
 if 'active_labels_list' not in st.session_state: st.session_state.active_labels_list = FIXED_LABELS
 if 'is_custom_mode' not in st.session_state: st.session_state.is_custom_mode = False
 if 'num_topics_slider' not in st.session_state: st.session_state.num_topics_slider = 5
@@ -569,14 +574,12 @@ text = st.text_area(
 word_count = len(text.split())
 st.markdown(f"**Word count:** {word_count}/{word_limit}")
 
-# --- Custom Labels Input ---
+# --- Custom Labels Input (Now Pre-populated and Editable) ---
 custom_labels_text = st.text_area(
-    "**Optional:** Enter your own comma-separated entity labels here (e.g., `product, symptom, client_id`). Leave blank for default labels.",
+    "**Optional:** Edit the comma-separated entity labels below to define your own categories. Delete existing labels or add new ones.",
     height=60,
     key='custom_labels_input',
-    # --- UPDATED PLACEHOLDER ENTITIES ---
-    placeholder="e.g., product_name, medical_symptom, customer_id, location_code, internal_project"
-    # --- END UPDATE ---
+    # Placeholder is now unnecessary as the value is pre-populated
 )
 
 col_results, col_clear = st.columns([1, 1])