Update app.py

app.py

@@ -26,7 +26,7 @@ class SentimentAnalyzer:
         return sentiment_scores_str
     def emotion_analysis(self,text):
         prompt = f""" Your task is find the top 1 emotion : <Sadness, Happiness, Joy, Fear, Disgust, Anger> and it's emotion score of the text.\
-        your are analyze the text and provide the output in the following list format heigher to lower order: [emotion1,emotion2,emotion3][score1,score2,score3]''' [with top 1 result having the highest score]
+        your are analyze the text and provide the output in the following list format heigher to lower order: ["emotion1","emotion2","emotion3"][score1,score2,score3]''' [with top 1 result having the highest score]
         The scores should be in the range of 0.0 to 1.0, where 1.0 represents the highest intensity of the emotion.\
         analyze the text : '''{text}'''
         """
@@ -113,7 +113,7 @@ class LangChain_Document_QA:
             customer_text, agent_text = entry
             formatted_history += f"Patient: {customer_text}\n"
             if agent_text:
-                formatted_history += f"Psycotherapist Bot: {agent_text}\n"
+                formatted_history += f"Mental Healthcare Doctor Chatbot: {agent_text}\n"
         return formatted_history
 
     def _display_history(self):
@@ -129,7 +129,7 @@ class LangChain_Document_QA:
         fig.update_layout(height=500, width=200)
         return fig
     def _display_graph_emotion(self,customer_emotion_score):
-        fig = px.pie(data, values='Score', names='Emotion', title='Emotion Distribution', hover_data=['Score'])
+        fig = px.pie(customer_emotion_score, values='Score', names='Emotion', title='Emotion Distribution', hover_data=['Score'])
         fig.update_traces(texttemplate='Emotion', textposition='outside')
         fig.update_layout(height=500, width=200)
         return fig
@@ -205,9 +205,9 @@ class LangChain_Document_QA:
 
         customer_emotion_fig=self._display_graph_emotion(customer_emotion_score)
         customer_emotion_fig.update_layout(title="Emotion Analysis",width=770)
-        print("scores :{}",scores)
-        print("customer_fig :{}",customer_fig)
-        print("customer_emotion_fig :{}",customer_emotion_fig)
+        print("scores :",scores)
+        print("customer_fig :",customer_fig)
+        print("customer_emotion_fig :",customer_emotion_fig)
         return scores,customer_fig,customer_emotion_fig