Update app.py

app.py

@@ -60,12 +60,16 @@ def predict(text, tokenizer, model, temperature = 1):
 
 model, tokenizer = get_model('distilbert-base-cased', 'distilbert-checkpoint-10983.bin')
 
-st.title("Yandex School of Data Analysis. ML course, laboratory work 2: classifier of categories of scientific papers")
-st.markdown("<img width=500px src='https://m.media-amazon.com/images/I/71XOMSKx8NL._AC_SL1500_.jpg'>", unsafe_allow_html=True)
+st.title("Yandex School of Data Analysis. ML course")
+st.title("Laboratory work 2: classifier of categories of scientific papers")
+st.markdown("<img width=100px src='https://m.media-amazon.com/images/I/71XOMSKx8NL._AC_SL1500_.jpg'>", unsafe_allow_html=True)
+
+st.markdown()
+
 st.markdown("Enter the title of the article and its abstract (although, if you really don't want to, you can do with just the title)")
 
-title = st.text_area(label='Title of the article', height=200)
-abstract = st.text_area(label='Abstract of the article', height=400)
+title = st.text_area(label='Title of the article', height=100)
+abstract = st.text_area(label='Abstract of the article', height=200)
 button = st.button('Go')
 
 if button: