namechange

app.py

@@ -15,7 +15,7 @@ classifier = pipeline(task="sentiment-analysis", model=model, tokenizer=tokenize
 
 textIn = st.text_input("Input Text Here:", "I really like the color of your car!")
 
-option = st.selectbox('Which pre-trained model would you like for your sentiment analysis?',('Pipeline', 'TextBlob', 'FINE-TUNED'))
+option = st.selectbox('Which pre-trained model would you like for your sentiment analysis?',('Pipeline', 'TextBlob', 'MILESTONE 3: FINE-TUNED'))
 
 st.write('You selected:', option)
 
@@ -68,5 +68,5 @@ if option == 'TextBlob':
     st.write('According to TextBlob, input text is ', sentiment, ' and a subjectivity score (from 0 being objective to 1 being subjective) of ', subjectivity)
 
 
-if option == 'FINE-TUNED':
+if option == 'MILESTONE 3: FINE-TUNED':
     ...