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| import gradio as gr | |
| import pandas as pd | |
| import numpy as np | |
| # UI Root | |
| with gr.Blocks() as demo: | |
| gr.Markdown("## CompUGE-Bench: Comparative Understanding and Generation Evaluation Benchmarks") | |
| # Main Tabs | |
| with gr.Tab("Leaderboards"): | |
| gr.Markdown("### Leaderboards") | |
| # CQI Tab | |
| with gr.Tab("CQI"): | |
| gr.Markdown("### Comparative Question Identification Leaderboard") | |
| # read dataframe from CQI_Learboard.csv | |
| # TODO: replace the following line with the actual leaderboard file | |
| CQI_Leaderboard = pd.read_csv("CQI_Leaderboard.csv") | |
| cqi_leaderboard = gr.components.Dataframe(CQI_Leaderboard) | |
| # OAI Tab | |
| with gr.Tab("OAI"): | |
| gr.Markdown("### Object & Aspect Identification Leaderboard") | |
| gr.Markdown("The OAI leaderboard will be opened soon!") | |
| # SC Tab | |
| with gr.Tab("SC"): | |
| gr.Markdown("### Stance Clasification Leaderboard") | |
| gr.Markdown("The SC leaderboard will be opened soon!") | |
| # SG Tab | |
| with gr.Tab("SG"): | |
| gr.Markdown("### Summary Generation Leaderboard") | |
| gr.Markdown("The Summary Generation leaderboard will be opened soon!") | |
| # Model Submissions Tab | |
| with gr.Tab("Model Submissions"): | |
| gr.Markdown("### Submission") | |
| gr.Markdown("The submission will be opened soon!") | |
| # About Tab | |
| with gr.Tab("About"): | |
| gr.Markdown("### About") | |
| gr.Markdown("CompUGE-Bench is a benchmark for comparative understanding and generation evaluation.") | |
| # Contact Tab | |
| with gr.Tab("Contact"): | |
| gr.Markdown("### Contact") | |
| gr.Markdown("For any questions, please contact us at ahmad.shallouf@uni-hamburg.de") | |
| # Launch public demo | |
| demo.launch(share=True) | |