Added PAN support, fixed few event listeners for proper update in UI

app.py

@@ -144,7 +144,7 @@ def execute_text_search(ix, q):
 def gen_insights(index_name, topic, summary_type):
     if topic is not None and len(topic) > 0:
         resp = generate_insights(index_name, topic, summary_type)
-        return resp.response
+        return resp
 
 
 @lru_cache(maxsize=50)
@@ -152,14 +152,18 @@ def generate_insights(index_name, topic, summary_type):
     if llama_cache[index_name] is None:
         return None
     query = f"What is the executive summary for the topic \"{topic}\"? Highlight negative aspects in 100 words"
+    if summary_type == "None":
+        return ""
     if summary_type == "Actions":
         query = f"What are the recommended action items for the topic \"{topic}\"? Limit response to 100 words using bullet points"
     elif summary_type == "Followup":
         query = f"What are the recommended questions to ask team for more clarity and latest status for the topic \"{topic}\"?"
-    return llama_cache[index_name].as_query_engine().query(query)
+    return llama_cache[index_name].as_query_engine().query(query).response
 
 
 def generate_comment_insights(index_name, topic, summary_type):
+    if summary_type == "None":
+        return ""
     if summary_type == "Show Comments":
         return show_docs(index_name, topic)
     if summary_type == "Show Threads":
@@ -249,7 +253,7 @@ def find_topics_by_thread(index_name, query, topic, summary_type):
     resp = search_keyword_matches(thread_index[index_name], query)
     if resp is not None:
         result_topics = find_topics_with_llama(index_name, query, resp)
-        return gr.Dropdown.update(choices=result_topics, value=result_topics[0])
+        return gr.Dropdown.update(choices=result_topics, value=result_topics[0]), gr.Radio.update(value="None")
 
     return "No matches found" if resp is None else resp
 
@@ -258,7 +262,8 @@ def find_topics_by_comments(index_name, query, topic, summary_type):
     resp = search_keyword_matches(comment_index[index_name], query)
     if resp is not None:
         result_topics = find_topics_with_llama(index_name, query, resp)
-        return gr.Dropdown.update(choices=result_topics, value=result_topics[0])
+
+        return gr.Dropdown.update(choices=result_topics, value=result_topics[0]), gr.Radio.update(value="None")
 
     return "No matches found" if resp is None else resp
 
@@ -271,35 +276,39 @@ def main_demo():
         load_data(data_sets)
         with gr.Tab("Thread"):
             data_sets_dd = gr.Dropdown(data_sets,
-                                       type="value", value=data_sets[0], label="Select Slack Channel")
+                                       type="value", value=data_sets[0], label="Select Data Source")
             keyword_txt = gr.Textbox(lines=2, label="Enter keywords to search", placeholder='CISO, auth0')
-            find_topics_button = gr.Button("Find Topics")
+            find_topics_button = gr.Button("Find Negative Topics")
             topics_dd = gr.Dropdown([],
                                     type="value", label="Select Topic with Negative Sentiment", allow_custom_value=True)
 
-            show_details = gr.Radio(["Summary", "Actions", "Followup"], label="Show Details")
-
+            show_details = gr.Radio(["None", "Summary", "Actions", "Followup"], label="Show Details")
+            out_box = gr.Textbox(lines=11, label="Response")
             find_topics_button.click(find_topics_by_thread,
                                      inputs=[data_sets_dd, keyword_txt, find_topics_button, topics_dd],
-                                     outputs=topics_dd)
+                                     outputs=[topics_dd, show_details])
             show_details.change(gen_insights, inputs=[data_sets_dd, topics_dd, show_details],
-                                outputs=gr.Textbox(lines=11, label="Response"))
+                                outputs=out_box)
+            topics_dd.change(gen_insights, inputs=[data_sets_dd, topics_dd, show_details],
+                             outputs=out_box)
 
         with gr.Tab("Comment"):
             data_sets_dd = gr.Dropdown(data_sets,
-                                       type="value", value=data_sets[0], label="Select Slack Channel")
+                                       type="value", value=data_sets[0], label="Select Data Source")
             keyword_txt = gr.Textbox(lines=2, label="Enter keywords to search", placeholder='CISO, auth0')
-            find_topics_button = gr.Button("Find Topics")
+            find_topics_button = gr.Button("Find Negative Topics")
             topics_dd = gr.Dropdown([],
                                     type="value", label="Select Topic with Negative Sentiment", allow_custom_value=True)
 
-            show_details = gr.Radio(["Show Comments", "Show Threads", "Show Summary"], label="Show Details")
-
+            show_details = gr.Radio(["None", "Show Comments", "Show Threads", "Show Summary"], label="Show Details")
+            out_box = gr.Textbox(lines=11, label="Response")
             find_topics_button.click(find_topics_by_comments,
                                      inputs=[data_sets_dd, keyword_txt, find_topics_button, topics_dd],
-                                     outputs=topics_dd)
+                                     outputs=[topics_dd, show_details])
             show_details.change(generate_comment_insights, inputs=[data_sets_dd, topics_dd, show_details],
-                                outputs=gr.Textbox(lines=11, label="Response"))
+                                outputs=out_box)
+            topics_dd.change(generate_comment_insights, inputs=[data_sets_dd, topics_dd, show_details],
+                             outputs=out_box)
 
     if 'LOGIN_PASS' in os.environ:
         demo.launch(auth=('axiamatic', os.environ['LOGIN_PASS']),