Исправлено хэширование.

app.py

@@ -16,7 +16,7 @@ Here you can get the keywords and topic of the article based on it's title or ab
 
 The only supported language is English.""")
 
-st.markdown("<p style=\"text-align:center\"><img width=90% src='https://c.tenor.com/IKt-6tAk9CUAAAAd/thats-a-lot-of-words-lots-of-words.gif'></p>", unsafe_allow_html=True)
+st.markdown("<p style=\"text-align:center\"><img width=100% src='https://c.tenor.com/IKt-6tAk9CUAAAAd/thats-a-lot-of-words-lots-of-words.gif'></p>", unsafe_allow_html=True)
 
 #from transformers import pipeline
 
@@ -57,7 +57,7 @@ main_nlp = get_nlp(nlp_name)
 
 # Получение модели.
 
-@st.cache(hash_funcs={transformers.tokenizers.Tokenizer: lambda _: None})
+#@st.cache(hash_funcs={transformers.tokenizers.Tokenizer: lambda _: None})
 def get_model_and_tokenizer(model_name):
     model = AutoModel.from_pretrained(model_name)
     tokenizer = AutoTokenizer.from_pretrained(model_name)