Update app.py

app.py

@@ -28,7 +28,12 @@ TABLE_INTRODUCTION = """The table below shows the performance of various models
     """
 
 CITATION_BUTTON_LABEL = "If you find AutoEval-Video useful for your research and applications, please copy the following snippet to cite these results: "
-CITATION_BUTTON_TEXT = """"""
+CITATION_BUTTON_TEXT = """@article{chen2023autoevalvideo,
+      title={AutoEval-Video: An Automatic Benchmark for Assessing Large Vision Language Models in Open-Ended Video Question Answering}, 
+      author={Xiuyuan Chen and Yuan Lin and Yuchen Zhang and Weiran Huang},
+      year={2023},
+      journal={arXiv preprint arXiv:2311.14906}
+}"""
 style = """<style>
     .dataframe-container {
         overflow-x: auto;
@@ -37,6 +42,7 @@ style = """<style>
 import gradio as gr
 import pandas as pd
 import json
+from tqdm import tqdm
 import time
 import random
 from huggingface_hub import CommitScheduler, login
@@ -65,7 +71,7 @@ def prediction_analyse(prediction_content,questiontype_list):
 
     results = {i: {"correct": 0, "total": 0} for i in questiontype_list}
 
-    for prediction in predictions:
+    for prediction in tqdm(predictions):
         # pdb.set_trace()
         prediction = prediction.strip()
         if not prediction: