Update app.py

app.py

@@ -73,18 +73,6 @@ def get_connotations(emotion, vocab):
     vocab_mask = torch.from_numpy(vocab.isin(word_set).values)
     return word_set, vocab_mask
 
-@st.cache(allow_output_mutation = True)
-def get_articles():
-    article = pd.read_csv("/proj/semafor/datasets/all-the-news-2-1.csv", nrows=10000).dropna(subset  =["title","article"])
-    return article
-
-
-@st.cache(allow_output_mutation = True)
-def search_articles(keyword,article):
-    mask = article.title.str.contains(keyword,case=False)
-    temp = article.loc[mask].sample().iloc[0]
-    return temp["title"] + " "+ temp["article"]
-
 @st.cache(allow_output_mutation = True)
 def get_model():
     tokenizer = RobertaTokenizerFast.from_pretrained('roberta-base')