Update app.py

app.py

@@ -246,31 +246,31 @@ class LangChain_Document_QA:
           #   with gr.Column(scale=0.80):
                 
           #   with gr.Column(scale=0.20, min_width=0):
-                
-          with gr.Row():
-              with gr.Column(scale=0.50):
-                  txt4 =gr.Textbox(
-                      show_label=False,
-                      lines=4,
-                      placeholder="Summary").style(container=False)
-              with gr.Column(scale=0.50):
-                  txt5 =gr.Textbox(
-                      show_label=False,
-                      lines=4,
-                      placeholder="Sentiment").style(container=False)
-          with gr.Row():
-              with gr.Column(scale=0.50, min_width=0):
-                  end_btn=gr.Button(value="End")
-              with gr.Column(scale=0.50, min_width=0):
-                  Sentiment_btn=gr.Button(value="📊",callback=self._on_sentiment_btn_click)
-          with gr.Row():
-              gr.HTML("""<center><h1>Sentiment and Emotion Score Graph</h1></center>""")
-          with gr.Row():
-              with gr.Column(scale=1, min_width=0):
-                  plot =gr.Plot(label="Patient", size=(500, 600))
-          with gr.Row():
-              with gr.Column(scale=1, min_width=0):
-                  plot_3 =gr.Plot(label="Patient_Emotion", size=(500, 600))
+          with gr.Accordion("Conversational AI Analytics", open = False):
+              with gr.Row():
+                  with gr.Column(scale=0.50):
+                      txt4 =gr.Textbox(
+                          show_label=False,
+                          lines=4,
+                          placeholder="Summary").style(container=False)
+                  with gr.Column(scale=0.50):
+                      txt5 =gr.Textbox(
+                          show_label=False,
+                          lines=4,
+                          placeholder="Sentiment").style(container=False)
+              with gr.Row():
+                  with gr.Column(scale=0.50, min_width=0):
+                      end_btn=gr.Button(value="End")
+                  with gr.Column(scale=0.50, min_width=0):
+                      Sentiment_btn=gr.Button(value="📊",callback=self._on_sentiment_btn_click)
+              with gr.Row():
+                  gr.HTML("""<center><h1>Sentiment and Emotion Score Graph</h1></center>""")
+              with gr.Row():
+                  with gr.Column(scale=1, min_width=0):
+                      plot =gr.Plot(label="Patient", size=(500, 600))
+              with gr.Row():
+                  with gr.Column(scale=1, min_width=0):
+                      plot_3 =gr.Plot(label="Patient_Emotion", size=(500, 600))
 
 
           txt_msg = txt.submit(self._add_text, [chatbot, txt], [chatbot, txt])