test 3 without model

app.py

@@ -8,7 +8,6 @@ from transformers import pipeline
 # Model and pipeline
 MODEL_PATH = 'danielcd99/multilanguage-toxicity-classifier'
 
-"""
 def load_pipeline():
     pipe=pipeline(
     "text-classification",
@@ -17,7 +16,7 @@ def load_pipeline():
     return pipe
 
 pipe = load_pipeline()
-"""
+
 
 # Title and subtitle
 st.title("Toxicity Detection")
@@ -25,3 +24,24 @@ st.subheader("This is an app for detecting toxicity in tweets written in portugu
           "Write the name of the user (without @) and select the number of tweets you want to check.")
 
 
+# User information
+with st.form(key='forms'):
+    st.markdown(
+        """#### Tweets are classified in:
+- 0: Harmless
+- 1: Toxic
+        """)
+    username = st.text_input(label='Username:')
+    number_of_tweets = st.selectbox(
+        'How many tweets do you want to check?',
+        (5, 10, 20, 30))
+    submit_button = st.form_submit_button(label='Analyze')
+
+if submit_button:
+    """
+    scraper = TwitterUserScraper(username)
+    tweets = get_tweets(scraper, number_of_tweets)
+    predictions = get_predictions(tweets, pipe)
+
+    st.table(pd.DataFrame({'tweet': tweets, 'toxic':predictions}))
+    """