cosmetic

app.py

@@ -1,3 +1,4 @@
+from os import CLD_CONTINUED
 import streamlit as st
 from streamlit.elements.altair import generate_chart
 from transformers import AutoTokenizer, AutoModelForCausalLM
@@ -30,11 +31,13 @@ song_name = st.text_input("Enter the desired song name", "Shaolin")
 
 
 
-if st.button("Generate lyrics", help="The lyrics generations lasts about a minute"):
+if st.button("Generate lyrics", help="The lyrics generations lasts for about a minute"):
     st.title(f"{artist}: {song_name}")
     prefix_text = f"<BOS>{song_name} [Verse 1:{artist}]"
     generated_song = text_generation(prefix_text, max_length=750, do_sample=True)[0]
     for count, line in enumerate(generated_song['generated_text'].split("\n")):
+      if"<EOS>" in line:
+        break
       if count == 0:
         st.markdown(f"**{line[line.find('['):]}**")
         continue
@@ -43,7 +46,5 @@ if st.button("Generate lyrics", help="The lyrics generations lasts about a minut
         continue
       if line.startswith("["):
         st.markdown(f"**{line}**")
-        continue
-      if"<EOS>" in line:
-        break
+        CLD_CONTINUED
       st.write(line)