app.py

import streamlit as st
# from transformers import pipeline

# 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:")

user_argument = st.text_input("", key="argument")
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"])