tester

app.py

@@ -1,15 +1,25 @@
 import streamlit as st
 from transformers import pipeline
 
-arg_pipeline = pipeline("text-generation", model="austenem/Llama-2-7b-arg-quality")
+pipe = pipeline('sentiment-analysis')
+text = st.text_area('enter text:')
 
-st.title("Arg Quality Ranker")
-st.write("Enter an argument and topic to analyze argument quality:")
+if text:
+    out = pipe(text)
+    st.json(out)
 
-st.write("Argument:")
-user_argument = st.text_input("", key="argument")
-st.write("Topic:")
-user_topic = st.text_input("", key="topic")
+# import streamlit as st
+# from transformers import pipeline
+
+# arg_pipeline = pipeline("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")
 
 # st.write("Score:")
 # if user_argument and user_topic: