Update app.py

app.py

@@ -199,15 +199,12 @@ class LangChain_Document_QA:
  scores=self._text_box(customer_emotion,customer_sentiment_score)
 
  customer_fig=self._display_graph(customer_sentiment_score)
- customer_fig.update_layout(title="Sentiment Analysis",width=740)
+ customer_fig.update_layout(title="Sentiment Analysis",width=800)
 
  customer_emotion_score = sentiment.emotion_analysis_for_graph(customer_emotion)
 
  customer_emotion_fig=self._display_graph_emotion(customer_emotion_score)
- customer_emotion_fig.update_layout(title="Emotion Analysis",width=700)
- print("scores :",scores)
- print("customer_fig :",customer_fig)
- print("customer_emotion_fig :",customer_emotion_fig)
+ customer_emotion_fig.update_layout(title="Emotion Analysis",width=800)
  return scores,customer_fig,customer_emotion_fig
 
 
@@ -256,10 +253,11 @@ class LangChain_Document_QA:
  with gr.Row():
  gr.HTML("""<center><h1>Sentiment and Emotion Score Graph</h1></center>""")
  with gr.Row():
- with gr.Column(scale=0.55, min_width=0):
- plot =gr.Plot(label="Patient", size=(400, 500))
- with gr.Column(scale=0.45, min_width=0):
- plot_3 =gr.Plot(label="Patient_Emotion", size=(400, 500))
+ 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])