app.py

import streamlit as st
from transformers import pipeline
from PIL import Image

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("")
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"])