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])