Update app.py

app.py

@@ -25,7 +25,7 @@ class SentimentAnalyzer:
         sentiment_scores_str = f"Positive: {sentiment_scores['positive']:.2f}, Neutral: {sentiment_scores['neutral']:.2f}, Negative: {sentiment_scores['negative']:.2f}"
         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.\
+        prompt = f""" Your task is find the top 3 emotion : <Sadness, Happiness, Joy, Fear, Disgust, Anger> and it's emotion score of the Mental Healthcare Doctor Chatbot and patient conversation 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]
         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}'''
@@ -39,9 +39,7 @@ class SentimentAnalyzer:
             frequency_penalty=0,
             presence_penalty=0
         )
-
         message = response.choices[0].text.strip().replace("\n","")
-        print(message)
         return message
 
     def analyze_sentiment_for_graph(self, text):
@@ -72,9 +70,7 @@ class Summarizer:
         openai.api_key=os.getenv("OPENAI_API_KEY")
     def generate_summary(self, text):
         model_engine = "text-davinci-003"
-        prompt = f"""summarize the following conversation delimited by triple backticks.
-                     write within 30 words.
-                     ```{text}``` """
+        prompt = f"""summarize the following conversation delimited by triple backticks. write within 30 words.```{text}``` """
         completions = openai.Completion.create(
             engine=model_engine,
             prompt=prompt,