SLM-RAG-Arena / app.py
Haoguang Cai
add UI and data processing
8a142a6
raw
history blame
17.4 kB
import gradio as gr
import random
import pandas as pd
import os
from utils.data_loader import get_random_example
from utils.models import generate_summaries, model_names
from utils.ui_helpers import toggle_context_display, update_feedback, get_context_html
from utils.leaderboard import load_leaderboard_data, save_leaderboard_data
# Read CSS from file
css_path = os.path.join(os.getcwd(), 'static', 'styles.css')
with open(css_path, 'r') as f:
css_content = f.read()
# Feedback options
feedback_options = {
"left": ["Model A: More complete", "Model A: More accurate", "Model A: More relevant", "Model A: Better written", "Model A: Better refusal (if applicable)"],
"right": ["Model B: More complete", "Model B: More accurate", "Model B: More relevant", "Model B: Better written", "Model B: Better refusal (if applicable)"],
"tie": ["Both complete", "Both accurate", "Both well written", "Both handle refusal well (if applicable)"],
"neither": ["Both incomplete", "Both hallucinate", "Both irrelevant", "Both incorrectly refuse (if applicable)", "A is bad", "B is bad"]
}
def load_new_question_improved(agg_results=None, show_full=False):
"""Loads a new random question, contexts, and model summaries."""
if agg_results is None:
agg_results = load_leaderboard_data()
example = get_random_example()
m_a_name, m_b_name = random.sample(model_names, 2)
s_a, s_b = generate_summaries(example, m_a_name, m_b_name)
context_desc = example.get('processed_context_desc', '')
if context_desc:
context_desc = f"<div class='context-topic'><span class='topic-label'>The question and context are about:</span> {context_desc}</div>"
show_full = False
context_html = get_context_html(example, show_full=show_full)
return [
example, # current_example
m_a_name, # model_a_name
m_b_name, # model_b_name
s_a, # summary_a_text
s_b, # summary_b_text
None, # selected_winner
[], # feedback_list
False, # show_results_state
agg_results, # results_agg
show_full, # show_full_context
gr.update(value=example['question']), # query_display
gr.update(value=context_desc, visible=bool(context_desc)), # context_description
gr.update(value=context_html), # context_display
gr.update(value="Show Full Context", elem_classes=["context-toggle-button"]), # context_toggle_btn
gr.update(value=s_a), # summary_a_display
gr.update(value=s_b), # summary_b_display
gr.update(interactive=True, elem_classes=["vote-button"]), # vote_button_a
gr.update(interactive=True, elem_classes=["vote-button"]), # vote_button_b
gr.update(interactive=True, elem_classes=["vote-button"]), # vote_button_tie
gr.update(interactive=True, elem_classes=["vote-button", "vote-button-neither"]), # vote_button_neither
gr.update(choices=[], value=[], interactive=False, visible=False), # feedback_checkboxes
gr.update(visible=False), # feedback_section
gr.update(interactive=False, visible=True), # submit_button
gr.update(visible=False), # results_reveal_area
gr.update(interactive=True), # random_question_btn
gr.update(elem_classes=[]) # main_interface_area
]
def select_vote_improved(winner_choice):
"""Handles vote button selections."""
feedback_choices = feedback_options.get(winner_choice, [])
btn_a_classes = ["vote-button"]
btn_b_classes = ["vote-button"]
btn_tie_classes = ["vote-button"]
btn_neither_classes = ["vote-button", "vote-button-neither"]
if winner_choice == 'left':
btn_a_classes.append("selected")
elif winner_choice == 'right':
btn_b_classes.append("selected")
elif winner_choice == 'tie':
btn_tie_classes.append("selected")
elif winner_choice == 'neither':
btn_neither_classes.append("selected")
return [
winner_choice, # selected_winner
gr.update(choices=feedback_choices, value=[], interactive=True, visible=True), # feedback_checkboxes
gr.update(visible=True), # feedback_section
gr.update(interactive=True), # submit_button
gr.update(elem_classes=btn_a_classes), # vote_button_a
gr.update(elem_classes=btn_b_classes), # vote_button_b
gr.update(elem_classes=btn_tie_classes), # vote_button_tie
gr.update(elem_classes=btn_neither_classes) # vote_button_neither
]
def submit_vote_fixed(m_a, m_b, winner, feedback, current_results):
"""Processes vote submission and updates results."""
if winner is None:
print("Warning: Submit called without a winner selected.")
return {}
updated_results = current_results.copy()
models_involved = [m_a, m_b]
for model in models_involved:
if model not in updated_results["wins"]:
updated_results["wins"][model] = 0
updated_results["losses"][model] = 0
updated_results["ties"][model] = 0
if winner == 'left':
updated_results["wins"][m_a] = updated_results["wins"].get(m_a, 0) + 1
updated_results["losses"][m_b] = updated_results["losses"].get(m_b, 0) + 1
elif winner == 'right':
updated_results["wins"][m_b] = updated_results["wins"].get(m_b, 0) + 1
updated_results["losses"][m_a] = updated_results["losses"].get(m_a, 0) + 1
elif winner == 'tie':
updated_results["ties"][m_a] = updated_results["ties"].get(m_a, 0) + 1
updated_results["ties"][m_b] = updated_results["ties"].get(m_b, 0) + 1
updated_results["votes"] = updated_results.get("votes", 0) + 1
save_leaderboard_data(updated_results)
# Prepare Results Table
results_list = []
all_models = list(set(list(updated_results["wins"].keys()) + list(updated_results["losses"].keys()) + list(updated_results["ties"].keys())))
for model in sorted(all_models):
wins = updated_results["wins"].get(model, 0)
losses = updated_results["losses"].get(model, 0)
ties = updated_results["ties"].get(model, 0)
total_comparisons = wins + losses + ties
win_rate = (wins + 0.5 * ties) / total_comparisons if total_comparisons > 0 else 0.0
results_list.append({
"Model": model,
"Win Rate (%)": f"{win_rate:.1%}",
"Wins": wins,
"Losses": losses,
"Ties": ties,
"Comparisons": total_comparisons
})
results_df = pd.DataFrame(results_list)
if not results_df.empty:
results_df['Win Rate Value'] = results_df['Win Rate (%)'].str.rstrip('%').astype('float') / 100.0
results_df = results_df.sort_values(by='Win Rate Value', ascending=False).drop(columns=['Win Rate Value'])
return [
True, # show_results_state
updated_results, # results_agg
gr.update(interactive=False), # vote_button_a
gr.update(interactive=False), # vote_button_b
gr.update(interactive=False), # vote_button_tie
gr.update(interactive=False), # vote_button_neither
gr.update(interactive=False), # feedback_checkboxes
gr.update(visible=True), # feedback_section
gr.update(visible=False), # submit_button
gr.update(visible=True), # results_reveal_area
gr.update(interactive=False), # random_question_btn
gr.update(value=results_df, visible=True), # results_table_display
gr.update(elem_classes=["results-revealed"]), # main_interface_area
gr.update(interactive=True), # context_toggle_btn
gr.update(value=m_a), # model_a_reveal
gr.update(value=m_b) # model_b_reveal
]
# Create embedded CSS
css_html = f"<style>{css_content}</style>"
# Create Gradio interface
with gr.Blocks(theme=gr.themes.Default(
primary_hue=gr.themes.colors.orange,
secondary_hue=gr.themes.colors.slate
)) as demo:
# Embed CSS directly in HTML
gr.HTML(css_html)
# State Variables
current_example = gr.State({})
model_a_name = gr.State("")
model_b_name = gr.State("")
summary_a_text = gr.State("")
summary_b_text = gr.State("")
selected_winner = gr.State(None)
feedback_list = gr.State([])
show_results_state = gr.State(False)
results_agg = gr.State({"wins": {}, "losses": {}, "ties": {}, "votes": 0})
show_full_context = gr.State(False)
# Create Tabs
with gr.Tabs() as tabs:
# Main Arena Tab
with gr.TabItem("Arena", id="arena-tab"):
# Main title and description
gr.Markdown("# RAG Summarizer Arena")
gr.Markdown("Compare summaries generated by different models based on the provided context and query. Select the better summary, or choose 'Tie' or 'Neither'. Your feedback helps evaluate model performance.")
# Main container
with gr.Column(elem_id="main-interface-area") as main_interface_area:
# Query section
with gr.Row(elem_id="query-title-row"):
gr.Markdown("### Query", elem_classes="section-heading")
with gr.Row(elem_id="query-container"):
with gr.Row(elem_classes="query-box-row"):
query_display = gr.Markdown(value="Loading question...", elem_classes="query-text")
random_question_btn = gr.Button("🔄 Get Random Question", elem_classes="query-button")
# Context description
context_description = gr.Markdown("", elem_classes="context-description")
# Context section
with gr.Row(elem_id="context-header-row"):
gr.Markdown("### Context Provided", elem_classes="context-title")
context_toggle_btn = gr.Button("Show Full Context", elem_classes=["context-toggle-button"])
context_display = gr.HTML(value="Loading context...", label="Context Chunks")
gr.Markdown("---")
gr.Markdown("### Compare Summaries", elem_classes="section-heading")
# Model summaries
with gr.Row():
with gr.Column(scale=1):
with gr.Group(elem_classes=["summary-card", "summary-card-a"]):
summary_a_display = gr.Textbox(label="Model A", lines=10, interactive=False, show_copy_button=True)
with gr.Column(scale=1):
with gr.Group(elem_classes=["summary-card", "summary-card-b"]):
summary_b_display = gr.Textbox(label="Model B", lines=10, interactive=False, show_copy_button=True)
# Voting section
gr.Markdown("### Cast Your Vote", elem_classes="section-heading")
with gr.Row():
vote_button_a = gr.Button("⬅️ Summary A is Better", elem_classes=["vote-button"])
vote_button_tie = gr.Button("🤝 Tie / Equally Good", elem_classes=["vote-button"])
vote_button_b = gr.Button("➡️ Summary B is Better", elem_classes=["vote-button"])
vote_button_neither = gr.Button("❌ Neither is Adequate", elem_classes=["vote-button", "vote-button-neither"])
# Feedback section
with gr.Group(elem_classes=["feedback-section"], visible=False) as feedback_section:
feedback_checkboxes = gr.CheckboxGroup(label="Feedback (optional)", choices=[], interactive=False)
# Submit button
submit_button = gr.Button("Submit Vote", variant="primary", interactive=False, elem_id="submit-button")
# Results area
with gr.Column(visible=False) as results_reveal_area:
gr.Markdown("---")
gr.Markdown("### ✅ Vote Submitted!", elem_classes="section-heading")
# Model reveal section
with gr.Row():
with gr.Column(scale=1):
gr.Markdown("### Model A was actually:", elem_classes="section-heading")
model_a_reveal = gr.Markdown("", elem_classes="model-reveal model-a-reveal")
with gr.Column(scale=1):
gr.Markdown("### Model B was actually:", elem_classes="section-heading")
model_b_reveal = gr.Markdown("", elem_classes="model-reveal model-b-reveal")
gr.HTML("<div style='height: 10px;'></div>")
# Try another button
with gr.Row(elem_classes=["control-buttons"]):
try_another_btn = gr.Button("🔄 Try Another Question", elem_id="try-another-btn")
# Leaderboard Tab
with gr.TabItem("Leaderboard", id="leaderboard-tab"):
gr.Markdown("# Model Performance Leaderboard")
gr.Markdown("View aggregate performance statistics for all models. The table below shows win rates, wins, losses, and ties for each model based on all evaluations.")
results_table_display = gr.DataFrame(label="Model Performance", interactive=False, wrap=True)
# Event Listeners
context_toggle_btn.click(
fn=toggle_context_display,
inputs=[current_example, show_full_context],
outputs=[show_full_context, context_display, context_toggle_btn]
)
demo.load(
fn=load_new_question_improved,
inputs=[],
outputs=[
current_example, model_a_name, model_b_name, summary_a_text, summary_b_text,
selected_winner, feedback_list, show_results_state, results_agg, show_full_context,
query_display, context_description, context_display, context_toggle_btn,
summary_a_display, summary_b_display,
vote_button_a, vote_button_b, vote_button_tie, vote_button_neither,
feedback_checkboxes, feedback_section, submit_button, results_reveal_area, random_question_btn,
main_interface_area
]
)
random_question_btn.click(
fn=load_new_question_improved,
inputs=[],
outputs=[
current_example, model_a_name, model_b_name, summary_a_text, summary_b_text,
selected_winner, feedback_list, show_results_state, results_agg, show_full_context,
query_display, context_description, context_display, context_toggle_btn,
summary_a_display, summary_b_display,
vote_button_a, vote_button_b, vote_button_tie, vote_button_neither,
feedback_checkboxes, feedback_section, submit_button, results_reveal_area, random_question_btn,
main_interface_area
]
)
vote_button_a.click(
fn=lambda: select_vote_improved('left'),
inputs=None,
outputs=[selected_winner, feedback_checkboxes, feedback_section, submit_button, vote_button_a, vote_button_b, vote_button_tie, vote_button_neither]
)
vote_button_b.click(
fn=lambda: select_vote_improved('right'),
inputs=None,
outputs=[selected_winner, feedback_checkboxes, feedback_section, submit_button, vote_button_a, vote_button_b, vote_button_tie, vote_button_neither]
)
vote_button_tie.click(
fn=lambda: select_vote_improved('tie'),
inputs=None,
outputs=[selected_winner, feedback_checkboxes, feedback_section, submit_button, vote_button_a, vote_button_b, vote_button_tie, vote_button_neither]
)
vote_button_neither.click(
fn=lambda: select_vote_improved('neither'),
inputs=None,
outputs=[selected_winner, feedback_checkboxes, feedback_section, submit_button, vote_button_a, vote_button_b, vote_button_tie, vote_button_neither]
)
feedback_checkboxes.change(
fn=update_feedback,
inputs=[feedback_checkboxes],
outputs=[feedback_list]
)
submit_button.click(
fn=submit_vote_fixed,
inputs=[model_a_name, model_b_name, selected_winner, feedback_list, results_agg],
outputs=[
show_results_state, results_agg,
vote_button_a, vote_button_b, vote_button_tie, vote_button_neither,
feedback_checkboxes,
feedback_section,
submit_button,
results_reveal_area,
random_question_btn,
results_table_display,
main_interface_area,
context_toggle_btn,
model_a_reveal,
model_b_reveal
]
)
try_another_btn.click(
fn=load_new_question_improved,
inputs=[],
outputs=[
current_example, model_a_name, model_b_name, summary_a_text, summary_b_text,
selected_winner, feedback_list, show_results_state, results_agg, show_full_context,
query_display, context_description, context_display, context_toggle_btn,
summary_a_display, summary_b_display,
vote_button_a, vote_button_b, vote_button_tie, vote_button_neither,
feedback_checkboxes, feedback_section, submit_button, results_reveal_area, random_question_btn,
main_interface_area
]
)
if __name__ == "__main__":
demo.launch(debug=True)