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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."
}
}
def write_evaluation_commentary(scores):
for principle, score in scores.items():
if principle == "Factually Correct":
if score >= 0.8:
comment = "Excellent accuracy! The information is precise and directly relevant to the question."
elif score >= 0.5:
comment = "Moderately accurate, but some details may not be completely correct or are somewhat irrelevant."
else:
comment = "The explanation contains significant inaccuracies or irrelevant information."
elif principle == "Useful":
if score >= 0.8:
comment = "Highly useful! The explanation clearly enhances understanding and aids in further reasoning or decision-making."
elif score >= 0.5:
comment = "Somewhat useful, though it could be more insightful or practical in aiding understanding."
else:
comment = "The explanation does little to help understand or apply the information provided."
elif principle == "Context Specific":
if score >= 0.8:
comment = "Perfectly tailored to the context of the question, addressing the specific scenario effectively."
elif score >= 0.5:
comment = "Generally addresses the context, but may miss specific details or nuances relevant to the question."
else:
comment = "Fails to address the context of the question, lacking relevance or specificity."
elif principle == "User Specific":
if score >= 0.8:
comment = "The explanation is well-adapted to the user's knowledge level and interests, demonstrating thoughtfulness."
elif score >= 0.5:
comment = "Moderately considerate of the user's knowledge level, but could be more tailored."
else:
comment = "Does not consider the user's background or interests, potentially leading to confusion or disinterest."
elif principle == "Provides Pluralism":
if score >= 0.8:
comment = "Provides an excellent range of perspectives or interpretations, fostering a comprehensive understanding."
elif score >= 0.5:
comment = "Offers some alternative perspectives, but more could be provided to enrich understanding."
else:
comment = "Lacks diversity in viewpoints, limiting the depth of exploration into the topic."
st.write(f"{principle} ({score}): {comment}")
# 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')
write_evaluation_commentary(scores)
else:
st.error('Please enter both a question and an explanation to evaluate.')
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