app.py

import streamlit as st
from evaluator import evaluator
import os

# Predefined examples
examples = {
    'good': {
        'question': "What causes rainbows to appear in the sky?",
        'explanation': "Rainbows appear when sunlight is refracted, dispersed, and reflected inside water droplets in the atmosphere, resulting in a spectrum of light appearing in the sky."
    },
    'bad': {
        'question': "What causes rainbows to appear in the sky?",
        'explanation': "Rainbows happen because light in the sky gets mixed up and sometimes shows colors when it's raining or when there is water around."
    }
}


# Function to check password
def check_password():
    def password_entered():
        if password_input == os.getenv('PASSWORD'):
            st.session_state['password_correct'] = True
        else:
            st.error("Incorrect Password, please try again.")

    password_input = st.text_input("Enter Password:", type="password")
    submit_button = st.button("Submit", on_click=password_entered)

    if submit_button and not st.session_state.get('password_correct', False):
        st.error("Please enter a valid password to access the demo.")


# Title of the application
st.title('Natural Language Explanation Demo')

# Check if password has been validated
if not st.session_state.get('password_correct', False):
    check_password()
else:
    model_name = st.selectbox('Select a model:', ['gpt4-1106', 'gpt35-1106'])

    # Option to select an example type
    example_type = st.radio("Choose an example type:", ('good', 'bad'))
    example = examples[example_type]

    st.write('### Example Question')
    st.write(example['question'])

    st.write('### Example Explanation')
    st.write(example['explanation'])

    if st.button('Evaluate Explanation'):
        eval = evaluator(model_name)
        scores = eval(example['question'], example['explanation'])
        st.write('### Scores')
        for principle, score in scores.items():
            st.write(f"{principle}: {score}")