hf transfer enabled

app.py

@@ -1,6 +1,6 @@
 import os
 from collections import OrderedDict
-os.environ["HF_HUB_ENABLE_HF_TRANSFER"] = "0"
+os.environ["HF_HUB_ENABLE_HF_TRANSFER"] = "1"
 
 import gradio as gr
 from shitsu import ShitsuScorer
@@ -51,7 +51,7 @@ def get_score(user_text, language):
     score = optimized_scorer.score(user_text, language)
     formatted_score = f"{score:.4g}"
     loaded_languages = optimized_scorer.get_loaded_languages()
-    display_loaded_languages = [('Currently loaded languages:', None)]
+    display_loaded_languages = [('Currently loaded languages: \n', None)]
     for language in loaded_languages:
         display_loaded_languages.append((language_map[language], language))
         display_loaded_languages.append((' ', None))
@@ -161,6 +161,8 @@ with gr.Blocks(theme=theme, css=css) as demo:
     """This is a demo of [Shitsu text scorer](https://huggingface.co/lightblue/shitsu_text_scorer) for multiple languages, which scores text based on the amount of useful, textbook-like information in it.
     
     It outputs a score generally between 0 and 1 but can exceed both of these bounds as it is a regressor.
+    
+    ⚠️ By default, the English version of the scorer is preloaded in memory. When using another language for the first time, beware extensive loading time.
     """
     )
     with gr.Row():