Merge branch 'main' of https://huggingface.co/spaces/dafqi/indo_twitter_sentiment_app

app.py

@@ -27,7 +27,7 @@ sb1,sb2 = st.columns([2,4])
 with sb1:
  option = st.selectbox('Pilih Mode Pencarian',('Simple','Advanced'))
 with sb2:
- option_model = st.selectbox('Pilih Model',("IndoBERT (Accurate,Slow) ",'Naive Bayes','Logistic Regression (Less Accurate,Fast)','XGBoost','Catboost','SVM','Random Forest'))
+ option_model = st.selectbox('Pilih Model',("IndoBERT (Accurate,Slow)",'Naive Bayes','Logistic Regression (Less Accurate,Fast)','XGBoost','Catboost','SVM','Random Forest'))
 
 if option == 'Simple':
 # create col1 and col2

script/functions.py

@@ -16,7 +16,7 @@ from nltk.tokenize import word_tokenize
 
 def get_tweets(username, length=10, option = None):
  # Creating list to append tweet data to
- query = "@traveloka -filter:links filter:replies"
+ query = username + " -filter:links filter:replies lang:id"
  if option == "Advanced":
  query = username
  tweets = []