feat(py): add a nice sentence

app.py

@@ -51,7 +51,7 @@ def clean_text(text):
 
 
 st.title('Welcome to my twitter airline sentiment analysis !', anchor='center')
-airline_tweet = st.text_input('Enter your english airline tweet here:', '@AmericanAirline My flight was great! :)')
+airline_tweet = st.text_input('Enter your english airline tweet here, press enter, and wait for the model to predict the sentiment of your review:', '@AmericanAirline My flight was great! :)')
 tokenizer = AutoTokenizer.from_pretrained('distilbert-base-uncased', num_labels=2)
 
 encoded_input = tokenizer(
@@ -86,5 +86,8 @@ model.load_weights('sentiment_weights.h5')
 prediction = model.predict({'input_ids' : encoded_input['input_ids'],'input_mask' : encoded_input['attention_mask']})
 encoded_dict = {0: 'negative', 1: 'positive'}
 
-st.write(f'The sentence is {encoded_dict[np.argmax(prediction)]}', )
+if np.argmax(prediction) == 0:
+    st.write(f'Sentiment predicted : {encoded_dict[np.argmax(prediction)]}\nI\'m sorry you had a bad experience with our company :( , please accept our apologies')
+else:
+    st.write(f'Sentiment predicted : {encoded_dict[np.argmax(prediction)]}\nGlad your flight was good ! Hope to see you soon :)')