Update app.py

app.py

@@ -9,6 +9,16 @@ target_to_label = {'cs': 'Computer Science', 'econ': 'Economics', 'eess': 'Elect
 ind_to_target = {ind: target for target, ind in target_to_ind.items()}
 
 
+![image/gif](https://cdn-uploads.huggingface.co/production/uploads/67f0e021e17e5360e7c18a52/oNcjUz7MbWW0Bymah31y7.gif)
+
+st.title('papers_classifier  - your best friend in 🤓')
+st.text('You need to give me paper's title and (if you want to) it's abstract. Also you need to choose classification mode - there are 2 of them:\
+best prediction and top 95% which means that you'll see as many classes as model needs to show to be confident with probability at least 0.95 that the correct one is among them. \
+After that you need to press the Get prediction button and I'll tell you to which fields of study this paper is related. \
+According to arXiv there are 8 different fields - Computer Science, Economics, Electrical Engineering and Systems Science, Mathematics, Physics, Quantitative Biology, \
+Quantitative Finance and Statistics.\
+')
+
 @st.cache_resource
 def load_model_and_tokenizer():
     model_name = 'distilbert/distilbert-base-cased'