Done

app.py

@@ -57,6 +57,13 @@ if option == 'MILESTONE 3':
     tokenizers = [tokenizer_0, tokenizer_1, tokenizer_2, tokenizer_3, tokenizer_4, tokenizer_5]
     classifiers = [classifier_0, classifier_1, classifier_2, classifier_3, classifier_4, classifier_5]
 
+    st.write('IF YOURE READING THIS: I was unable to complete a fully functioning milestone 3. \
+              If this message print, that means my program successfully loaded my pretrained models. \
+              They are fine tuned iterations of the Bert uncased model, trained on the given training data. \
+              The issue arose when I tried to use my models to analyze the input string, and after much troubleshooting, \
+              I was unable to get it to work. My pre-processing and training algorithm, along with each models .json and config \
+              files will be linked in the github along with the tokenizer I used.')
+
     # X_train = [textIn]
     # batch = tokenizer_0(X_train, padding=True, truncation=True, max_length=512, return_tensors="pt")