Sync changes

app.py

@@ -68,7 +68,7 @@ with gr.Blocks() as demo:
             '''<h1 text-align="center">Infini-gram: An Engine for n-gram / ∞-gram Language Models with Trillion-Token Corpora</h1>
 
             <p style='font-size: 16px;'>This is an engine that processes n-gram / ∞-gram queries on a text corpus. Please first select the corpus and the type of query, then enter your query and submit.</p>
-            <p style='font-size: 16px;'>The engine is developed by <a href="https://liujch1998.github.io">Jiacheng (Gary) Liu</a> and documented in our paper: <a href="">Infini-gram: Scaling Unbounded n-gram Language Models to a Trillion Tokens</a></p>
+            <p style='font-size: 16px;'>The engine is developed by <a href="https://liujch1998.github.io">Jiacheng (Gary) Liu</a> and documented in our paper: <a href="https://arxiv.org/abs/2401.17377">Infini-gram: Scaling Unbounded n-gram Language Models to a Trillion Tokens</a></p>
             '''
         )
         with gr.Row():
@@ -261,7 +261,12 @@ with gr.Blocks() as demo:
             gr.Markdown('''
 If you find this tool useful, please kindly cite our paper:
 ```
-(coming soon)
+@article{Liu2024InfiniGram,
+  title={Infini-gram: Scaling Unbounded n-gram Language Models to a Trillion Tokens},
+  author={Liu, Jiacheng and Min, Sewon and Zettlemoyer, Luke and Choi, Yejin and Hajishirzi, Hannaneh},
+  journal={arXiv preprint arXiv:2401.17377},
+  year={2024}
+}
 ```
 ''')
 
@@ -305,6 +310,11 @@ If you find this tool useful, please kindly cite our paper:
         # row_7,
     ])
 
+for d in demo.dependencies:
+    d['api_name'] = False
+if debug:
+    print(demo.dependencies)
+
 demo.queue(
     default_concurrency_limit=default_concurrency_limit,
     max_size=max_size,