pages/1_single_evaluation.py

import pandas as pd
import streamlit as st
from util.evaluator import evaluator,write_evaluation_commentary
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'])

    # User choice between predefined examples or their own input
    input_type = st.radio("Choose input type:", ('Use predefined example', 'Enter your own'))

    if input_type == 'Use predefined example':
        example_type = st.radio("Select an example type:", ('good', 'bad'))
        question = examples[example_type]['question']
        explanation = examples[example_type]['explanation']
    else:
        question = st.text_input('Enter your question:', '')
        explanation = st.text_input('Enter your explanation:', '')

    # Display the selected or entered question and explanation
    st.write('### Question')
    st.write(question if question else 'No question entered yet.')

    st.write('### Explanation')
    st.write(explanation if explanation else 'No explanation entered yet.')

    if st.button('Evaluate Explanation'):
        if question and explanation:
            eval = evaluator(model_name)
            scores = eval(question, explanation)
            st.write('### Scores')
            details = write_evaluation_commentary(scores)
            df = pd.DataFrame(details)
            st.write(df)

            csv = df.to_csv(index=False)
            st.download_button(
                label="Download evaluation as CSV",
                data=csv,
                file_name='evaluation.csv',
                mime='text/csv',
            )
        else:
            st.error('Please enter both a question and an explanation to evaluate.')