test without import

app.py

@@ -1,8 +1,7 @@
 import streamlit as st
-from transformers import pipeline
-from PIL import Image
+# 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:")
@@ -10,7 +9,7 @@ st.write("Enter an argument and topic to analyze argument quality:")
 user_argument = st.text_input("")
 user_topic = st.text_input("")
 
-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"])