removed test.py

.gitignore

@@ -165,4 +165,5 @@ notebooks/.ipynb_checkpoints
 db/empty.json
 .config/user-evaluations-firebase-creds.json
 user-evaluations-default-rtdb-export.json
-data/
+data/
+test.py

test.py

@@ -1,138 +0,0 @@
-import streamlit as st
-import pandas as pd
-
-# Sample Data (Replace with your actual data loading)
-data = {
-    'query_v': {
-        'gemini': 'Cheap European city break in February.',
-        'llama': 'Affordable European trip in February.',
-    },
-    'query_p0': {
-        'gemini': 'European city break in February, less crowded destinations.',
-         'llama': 'February European city break, away from the crowds.',
-    },
-    'query_p1': {
-        'gemini': 'Best European cities for intense physical training and recovery with easy access to ice rinks?',
-        'llama': 'Top European cities for intense training and recovery with ice rinks?',
-    },
-}
-
-# Sample rating data (Replace this with your actual data)
-rating_data = {
-    'gemini': {
-        'query_v': {'relevance': 'Not Relevant', 'clarity': 'Not Clear'},
-        'query_p0': {'relevance': 'Not Relevant', 'clarity': 'Not Clear', 'persona_alignment': 'N/A'},
-        'query_p1': {'relevance': 'N/A', 'clarity': 'N/A', 'persona_alignment': 'N/A'},
-    },
-    'llama': {
-        'query_v': {'relevance': 'Somewhat Relevant', 'clarity': 'Somewhat Clear'},
-        'query_p0': {'relevance': 'Somewhat Relevant', 'clarity': 'Somewhat Clear', 'persona_alignment': 'Partially Aligned'},
-        'query_p1': {'relevance': 'Not Relevant', 'clarity': 'Not Clear', 'persona_alignment': 'Not Aligned'},
-    }
-}
-
-
-df = pd.DataFrame.from_dict(data)
-
-
-# Function to display query, rating, and controls for one query
-def display_query_section(query_type, query_text_gemini, query_text_llama, relevance_gemini, clarity_gemini, relevance_llama, clarity_llama, persona_alignment_gemini=None, persona_alignment_llama=None):
-    st.subheader(f"{query_type}")
-    col1, col2 = st.columns(2)
-    with col1:
-        st.markdown("Gemini")
-        st.write(query_text_gemini)
-        st.markdown("Relevance")
-        relevance_options = ['N/A', 'Not Relevant', 'Somewhat Relevant', 'Relevant', 'Unclear']
-        selected_relevance_gemini = st.radio("Relevance", options = relevance_options, key=f"relevance_{query_type}_gemini", index=relevance_options.index(relevance_gemini), horizontal=True)
-        st.markdown("Clarity")
-        clarity_options = ['N/A', 'Not Clear', 'Somewhat Clear', 'Very Clear']
-        selected_clarity_gemini = st.radio("Clarity", options = clarity_options, key=f"clarity_{query_type}_gemini", index=clarity_options.index(clarity_gemini), horizontal=True)
-
-        if persona_alignment_gemini:
-                st.markdown("Persona Alignment")
-                persona_options = ['N/A', 'Not Aligned', 'Partially Aligned', 'Aligned', 'Unclear']
-                selected_persona_alignment_gemini = st.radio("Persona Alignment", options = persona_options, key=f"persona_{query_type}_gemini", index=persona_options.index(persona_alignment_gemini), horizontal=True)
-    with col2:
-            st.markdown("Llama")
-            st.write(query_text_llama)
-            st.markdown("Relevance")
-            relevance_options_llama = ['N/A', 'Not Relevant', 'Somewhat Relevant', 'Relevant', 'Unclear']
-            selected_relevance_llama = st.radio("Relevance", options = relevance_options_llama, key=f"relevance_{query_type}_llama", index=relevance_options_llama.index(relevance_llama), horizontal=True)
-            st.markdown("Clarity")
-            clarity_options_llama = ['N/A', 'Not Clear', 'Somewhat Clear', 'Very Clear']
-            selected_clarity_llama = st.radio("Clarity", options = clarity_options_llama, key=f"clarity_{query_type}_llama", index=clarity_options_llama.index(clarity_llama), horizontal=True)
-            if persona_alignment_llama:
-                  st.markdown("Persona Alignment")
-                  persona_options_llama = ['N/A', 'Not Aligned', 'Partially Aligned', 'Aligned', 'Unclear']
-                  selected_persona_alignment_llama = st.radio("Persona Alignment", options = persona_options_llama, key=f"persona_{query_type}_llama", index=persona_options_llama.index(persona_alignment_llama), horizontal=True)
-
-# Main Streamlit App
-st.set_page_config(layout="wide")
-
-# Context Information
-st.title("Question 1 of 5")
-st.subheader("Config ID: c_p_0_pop_low_easy")
-st.markdown("### Context Information")
-with st.expander("Persona", expanded=True):
-    st.write("A top-scoring player in the local league who is also eyeing a professional career in the NHL")
-with st.expander("Filters & Cities", expanded=True):
-     st.write("Filters: {'popularity': 'low', 'month': 'February'}")
-     st.write("Cities: ['Adana', 'Adiyaman', 'Agri', 'Arad', 'Arkhangelsk', 'Bacau', 'Baia Mare', 'Balikesir', 'Brest',\
-'Burgas', 'Canakkale', 'Craiova', 'Debrecen', 'Denizli', 'Diyarbakir', 'Elazig', 'Erzincan', 'Eskisehir',\
-'Gaziantep', 'lasi', 'Ioannina', 'Isparta', 'Jonkoping', 'Kahramanmaras', 'Kars', 'Kayseri', 'Konya', 'Kosice',\
-'Linkoping', 'Malatya', 'Miskolc', 'Mykolaiv', 'Nalchik', 'Nevsehir', 'Nis', 'Orebro', 'Orleans', 'Rivne',\
-'Rzeszow', 'Samsun', 'Sanliurfa', 'Sevilla', 'Siirt', 'Sivas', 'Syktyvkar', 'Targu-Mures', 'Tekirdag',\
-'Thessaloniki', 'Trabzon', 'Uzhhorod', 'Valladolid', 'Van', 'Vasteras', 'Vinnytsia', 'Vitoria-Gasteiz',\
-'Vladikavkaz', 'Zaporizhzhia', 'Zielona Gora', 'Batman', 'Erzurum']")
-
-
-# Display Query Sections
-display_query_section(
-    query_type="Query_v",
-    query_text_gemini=df.loc['gemini','query_v'],
-    query_text_llama=df.loc['llama','query_v'],
-    relevance_gemini=rating_data['gemini']['query_v']['relevance'],
-    clarity_gemini=rating_data['gemini']['query_v']['clarity'],
-    relevance_llama=rating_data['llama']['query_v']['relevance'],
-    clarity_llama=rating_data['llama']['query_v']['clarity'],
-)
-
-display_query_section(
-    query_type="Query_p0",
-    query_text_gemini=df.loc['gemini','query_p0'],
-    query_text_llama=df.loc['llama','query_p0'],
-    relevance_gemini=rating_data['gemini']['query_p0']['relevance'],
-    clarity_gemini=rating_data['gemini']['query_p0']['clarity'],
-     persona_alignment_gemini=rating_data['gemini']['query_p0']['persona_alignment'],
-    relevance_llama=rating_data['llama']['query_p0']['relevance'],
-    clarity_llama=rating_data['llama']['query_p0']['clarity'],
-    persona_alignment_llama=rating_data['llama']['query_p0']['persona_alignment'],
-)
-
-display_query_section(
-    query_type="Query_p1",
-    query_text_gemini=df.loc['gemini','query_p1'],
-     query_text_llama=df.loc['llama','query_p1'],
-    relevance_gemini=rating_data['gemini']['query_p1']['relevance'],
-    clarity_gemini=rating_data['gemini']['query_p1']['clarity'],
-    persona_alignment_gemini=rating_data['gemini']['query_p1']['persona_alignment'],
-    relevance_llama=rating_data['llama']['query_p1']['relevance'],
-    clarity_llama=rating_data['llama']['query_p1']['clarity'],
-    persona_alignment_llama=rating_data['llama']['query_p1']['persona_alignment'],
-
-)
-# Additional Comments
-st.markdown("Additional Comments (Optional):")
-st.text_area("", key="additional_comments")
-
-# Navigation Buttons
-col1, col2, col3 = st.columns([1,1,1])
-with col1:
-    st.button("Back")
-with col2:
-     st.button("Next")
-with col3:
-    st.button("Exit & Resume Later")
-# Bottom message
-st.markdown("Please provide a rating before proceeding.")