Update app.py

app.py

@@ -14,20 +14,12 @@ def load_model(model_name):
         AutoTokenizer.from_pretrained(model_name),
     )
 
-print ("before main")
 
 st.title("Transformers Interpet Demo App")
 
-print ("before main")
-
-#image = Image.open("./images/tight@1920x_transparent.png")
-#st.sidebar.image(image, use_column_width=True)
 st.sidebar.markdown(
     "Check out the package on [Github](https://github.com/cdpierse/transformers-interpret)"
 )
-st.info(
-    "Due to limited resources only low memory models are available. Run this [app locally](https://github.com/cdpierse/transformers-interpret-streamlit) to run the full selection of available models. "
-)
 
 # uncomment the options below to test out the app with a variety of classification models.
 models = {
@@ -85,12 +77,6 @@ text = st.text_area(
     height=400,
     max_chars=850,
 )
-print ("Before button")
-if st.button('Say hello'):
-    st.write('Why hello there')
-else:
-    st.write('Goodbye')
-print ("After test button")
 
 if st.button("Interpret Text"):
     #print_memory_usage()
@@ -121,9 +107,4 @@ if st.button("Interpret Text"):
         )
     print ("end of stuff")
 
-
-
-
-
-
 print ("end of total file")