import pandas as pd
import streamlit as st
from transformers import pipeline
import os

# Load models
model1 = pipeline("text-classification", model="vectara/hallucination_evaluation_model")
model2 = pipeline("text-classification", model="sileod/deberta-v3-base-tasksource-nli")

# 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.",
        'ground_truth': "Correct"
    },
    '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.",
        'ground_truth': "Incorrect"
    }
}

# Function to evaluate explanations using the two models
def evaluate_explanation(question, explanation):
    results1 = model1(explanation)
    results2 = model2(explanation)
    return results1, results2

# Function to compare vectors (simple difference in scores as example)
def compare_vectors(v1, v2):
    diff = abs(v1[0]['score'] - v2[0]['score'])
    return diff

# Title of the application
st.title('Dual Model Evaluation of Explanations')

# Check for password before allowing access
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.")

# Password check
if not st.session_state.get('password_correct', False):
    check_password()
else:
    st.sidebar.success("Password Verified. Proceed with the demo.")

    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'))
        selected_example = examples[example_type]
        question = selected_example['question']
        explanation = selected_example['explanation']
        ground_truth = selected_example['ground_truth']
    else:
        question = st.text_input('Enter your question:', '')
        explanation = st.text_input('Enter your explanation:', '')
        ground_truth = st.text_input('Enter ground truth:', '')

    if st.button('Evaluate Explanation'):
        if question and explanation and ground_truth:
            results1, results2 = evaluate_explanation(question, explanation)
            diff = compare_vectors(results1, results2)
            st.write('### Model 1 Results')
            st.write(results1)
            st.write('### Model 2 Results')
            st.write(results2)
            st.write(f'### Score Difference: {diff}')
        else:
            st.error('Please enter a question, explanation, and ground truth to evaluate.')