add pipeline back

app.py

@@ -1,15 +1,17 @@
 import streamlit as st
-# from transformers import pipeline
+from transformers import pipeline
 
-# arg_pipeline = pipeline(task="text-generation", model="austenem/Llama-2-7b-arg-quality")
+arg_pipeline = pipeline(task="text-generation", model="austenem/Llama-2-7b-arg-quality")
 
 st.title("Arg Quality Ranker")
 st.write("Enter an argument and topic to analyze argument quality:")
 
+st.write("Argument:")
 user_argument = st.text_input("", key="argument")
+st.write("Topic:")
 user_topic = st.text_input("", key="topic")
 
-# if user_argument and user_topic:
-#     user_input = f"Below is an argument and the topic it relates to. Please rate the quality of the argument on a scale of 0 to 1, where 0 is very poor and 1 is very good. \n ### Argument: {user_argument} \n ### Topic: {user_topic} \n ### Score: "
-#     result = arg_pipeline(user_input)
-#     st.write(result[0]["text"])
+if user_argument and user_topic:
+    user_input = f"Below is an argument and the topic it relates to. Please rate the quality of the argument on a scale of 0 to 1, where 0 is very poor and 1 is very good. \n ### Argument: {user_argument} \n ### Topic: {user_topic} \n ### Score: "
+    result = arg_pipeline(user_input)
+    st.write(result[0]["text"])