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])