Update app.py

app.py

@@ -1,3 +1,11 @@
+import gradio as gr
+import pickle
+import nltk
+from nltk.corpus import stopwords
+import string
+from sklearn.feature_extraction.text import  TfidfVectorizer
+from sklearn.naive_bayes import MultinomialNB
+
 tfidf=pickle.load(open('tfidf.pkl','rb'))
 model=pickle.load(open('model.pkl','rb'))
 
@@ -21,7 +29,7 @@ def preprocess(text):
 
 iface = gr.Interface(
     fn=classify_msg,
-    inputs=gr.inputs.Textbox(),
+    inputs=gr.inputs.Textbox(placeholder='If your message has more than 50 words, the probability of a correct prediction is high.'),
     outputs="text",
 )