update

pages/2_batch_evaluation.py

@@ -1,9 +1,10 @@
+import os
 import pandas as pd
 import streamlit as st
 from util.evaluator import evaluator, write_evaluation_commentary
-import os
 
 
+# Function to check password
 def check_password():
     def password_entered():
         if password_input == os.getenv('PASSWORD'):
@@ -18,7 +19,7 @@ def check_password():
         st.error("Please enter a valid password to access the demo.")
 
 
-
+# Function to batch evaluate explanations
 def batch_evaluate(uploaded_file):
     df = pd.read_csv(uploaded_file)
     eval_instance = evaluator('gpt4-1106')  # Assuming fixed model name for simplicity
@@ -45,12 +46,29 @@ def batch_evaluate(uploaded_file):
     return pd.DataFrame(results)
 
 
+# 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.write("""
+    ### Instructions for Uploading CSV
+    Please upload a CSV file with the following columns:
+    - `question`: The question you want evaluated.
+    - `explanation`: The explanation corresponding to the question.
+
+    **Example CSV Format:**
+    ```
+    question,explanation
+    "What causes rainbows to appear in the sky?","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."
+    "Why is the sky blue?","The sky is blue because molecules in the air scatter blue light from the sun more than they scatter red light."
+    ```
+    """)
+
     uploaded_file = st.file_uploader("Upload CSV file with 'question' and 'explanation' columns", type=['csv'])
 
     if uploaded_file is not None: