Update app.py

app.py

@@ -9,15 +9,9 @@ from transformers.pipelines import pipeline
 
 classifier = pipeline("zero-shot-classification", model="knowledgator/comprehend_it-base")
 
-candidate_labels = ['Lecture quality','Positive lecture quality','Negative lecture quality', 'lecturer teaching strength', 'assignments given', 'comments on lecturers teaching venue','Lecturers test and exam grading']
+candidate_labels = ['Lecture quality','Positive lecture quality','Negative lecture quality', 'lecturer teaching strength', 'assignments not given', 'assignments given',' positve comments on lecturers teaching venue','negative comments on lecturers teaching venue',' Lecturers test and exam grading']
 sequence_to_classify = "I hate Mr Thomas class, he doesn't teach well and he doesn't give assignments"
 st.write(classifier(sequence_to_classify, candidate_labels, multi_label=True))
-#{'labels': ['travel', 'exploration', 'dancing', 'cooking'],
-# 'scores': [0.9945111274719238,
-#  0.9383890628814697,
-#  0.0057061901316046715,
-#  0.0018193122232332826],
-# 'sequence': 'one day I will see the world'}