test without model

app.py

@@ -7,7 +7,7 @@ from transformers import pipeline
 
 # Model and pipeline
 MODEL_PATH = 'danielcd99/multilanguage-toxicity-classifier'
-
+"""
 def load_pipeline():
     pipe=pipeline(
     "text-classification",
@@ -16,7 +16,7 @@ def load_pipeline():
     return pipe
 
 pipe = load_pipeline()
-
+"""
 
 # Title and subtitle
 st.title("Toxicity Detection")
@@ -42,4 +42,4 @@ if submit_button:
     tweets = get_tweets(scraper, number_of_tweets)
     predictions = get_predictions(tweets, pipe)
 
-    st.table(pd.DataFrame({'tweet': tweets, 'toxic':predictions}))
+    #st.table(pd.DataFrame({'tweet': tweets, 'toxic':predictions}))