update

pages/2_batch_evaluation.py

@@ -1,70 +0,0 @@
-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.")
-
-def batch_evaluate(uploaded_file):
-    df = pd.read_csv(uploaded_file)
-    eval = evaluator(model_name='gpt4-1106')  # Assuming model name is fixed for simplicity
-    results = []
-
-    for _, row in df.iterrows():
-        question = row['question']
-        explanation = row['explanation']
-        scores = eval(question, explanation)
-        commentary = write_evaluation_commentary(scores)[["Principle", "Score"]].transpose().to_dict()
-        results.append({**{'Question': question, 'Explanation': explanation}, **commentary})
-
-    result_df = pd.DataFrame(results)
-    return result_df
-
-# 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:
-    st.sidebar.success("Password Verified. Proceed with the demo.")
-    st.header("Batch Evaluation of Questions and Explanations")
-    uploaded_file = st.file_uploader("Upload CSV file with columns 'question' and 'explanation'", type='csv')
-
-    if uploaded_file is not None:
-        if st.button('Evaluate Explanations'):
-            result_df = batch_evaluate(uploaded_file)
-            st.write('### Evaluated Results')
-            st.dataframe(result_df)
-
-            csv = result_df.to_csv(index=False)
-            st.download_button(
-                label="Download evaluation results as CSV",
-                data=csv,
-                file_name='evaluated_results.csv',
-                mime='text/csv'
-            )