Update app.py

app.py

@@ -1,7 +1,7 @@
 import gradio as gr
 import pandas as pd
 
-banner_url = "./banner.png"
+banner_url = "file/banner.png"
 BANNER = f'<div style="display: flex; justify-content: space-around;"><img src="{banner_url}" alt="Banner" style="width: 20vw; min-width: 300px; max-width: 600px;"> </div>'
 
 INTRODUCTION_TEXT = """
@@ -11,13 +11,8 @@ INTRODUCTION_TEXT = """
 \nFor more detailed analysis such as models' robustness, speaker adaption, model efficiency and memory usage, please check our paper.
 """
 
-CITATION_BUTTON_TEXT = """@misc{???,
-    title        = {???},
-    author       = {???},
-    year         = ???,
-    publisher    = {???},
-    howpublished = "???"
-}
+CITATION_BUTTON_TEXT = """
+???
 """
 
 METRICS_TAB_TEXT = METRICS_TAB_TEXT = """
@@ -25,7 +20,7 @@ METRICS_TAB_TEXT = METRICS_TAB_TEXT = """
 We report both the Word Error Rate (WER) and Character Error Rate (CER) metrics.
 ## Reproduction
 The Open Universal Arabic ASR Leaderboard will be a continuous benchmark project. 
-\nWe open-source the the evaluation scripts at our GitHub repo.
+\nWe open-source the evaluation scripts at our GitHub repo.
 \nPlease launch a discussion in our GitHub repo to let us know if you want to learn about the performance of a new model.
 
 ## Benchmark datasets
@@ -110,4 +105,4 @@ with gr.Blocks() as demo:
                 show_copy_button=True,
             )
 
-demo.launch()
+demo.launch(allowed_paths=["banner.png"])