added all emotions

app.py

@@ -23,7 +23,7 @@ backends = [
   'mediapipe'
 ]
 
-emotion_pipeline = pipeline("text-classification", model="cardiffnlp/twitter-roberta-base-emotion")
+emotion_pipeline = pipeline("text-classification", model="j-hartmann/emotion-english-distilroberta-base", return_all_scores=True)
 sentiment_pipeline = pipeline("sentiment-analysis", model="distilbert-base-uncased-finetuned-sst-2-english")
 
 model = load_learner("gaze-recognizer-v3.pkl")
@@ -195,7 +195,7 @@ def video_processing(video_file, encoded_video):
     print(f'total sad percentage = {sad}')
     print(f'total surprise percentage = {surprise}')
     print(f'total neutral percentage = {neutral}')
-    final_result = "Gaze = "+str(gaze_percentage)+"\nFace Emotion = "+str(text_emotion)+"\nText Emotion = "+str(text_emotion)+"\nText transcription = "+str(transcription)+"\nText sentiment = "+str(text_sentiment)
+    final_result = "Gaze = "+str(gaze_percentage)+"\nFace Emotion = "+str(emotion)+"\nText Emotion = "+str(text_emotion)+"\nText transcription = "+str(transcription)+"\nText sentiment = "+str(text_sentiment)
     return final_result