Update app.py

app.py

@@ -18,7 +18,7 @@ tokenizer = AutoTokenizer.from_pretrained(model_checkpoint)
 #streamlit stuff
 tags = st.text_input("Input tags separated by commas")
 text = st.text_input("Input text to classify")
- = st.slider("Number of key phrases to extract from text", 10,30,20)
+topkp = st.slider("Number of key phrases to extract from text", 10,30,20)
 #Methods for tag processing
 def pool_embeddings(out, tok):
   embeddings = out["hidden_states"][-1]