update

app.py

@@ -1,79 +1,15 @@
-import pandas as pd
 import streamlit as st
-from 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."
-    }
-}
+st.set_page_config(
+    page_title="app",
+    page_icon="👋",
+)
 
+st.title('AI explainability in the EU AI Act: a case for an NLE approach towards pragmatic explanations')
 
+st.sidebar.success("Select a demo above.")
 
-# 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.')
+st.markdown(
+    """
+    """
+)

pages/1_single_evaluation.py

@@ -0,0 +1,79 @@
+import pandas as pd
+import streamlit as st
+from 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.')