Add another example

app.py

@@ -5,19 +5,29 @@ from intent_classifier.model import IntentClassifier
 
 @st.cache_resource
 def load_model(model_name="Serj/intent-classifier", device=None):
-    st.write(f"model path: {model_name}")
+    # st.write(f"model path: {model_name}")
     m = IntentClassifier(model_name=model_name, device=device)
     return m
 
 
 model = load_model()
 
+st.title("Simple Labels")
 # text = "Hey, I want to stop my subscription. Can I do that?"
+text = "How do I get my money back?"
+input = st.text_area("text", value=text)
+prompt_options = st.text_area("prompt_options", value="# renew subscription # account deletion # cancel subscription # resume subscription # refund requests # other # general # item damaged # malfunction # hello # intro # question")
+is_clicked = st.button("Submit", key="submit smile")
+if is_clicked:
+    output = model.predict(input, prompt_options)
+    st.write(output)
+
+st.title("Complex labels")
 text = "I was expecting my card to get this week and I'm wandering why didn't I receive it yet?"
 input = st.text_area("text", value=text)
 prompt_options_values = " # how do I locate my card # my card hasn't arrived yet # I would like to reactivate my card # where do I link my card? # How do I re add my card? # how do I add the card to my account? # status of the card order "
 prompt_options = st.text_area("prompt_options", value=prompt_options_values)
-is_clicked = st.button("Submit")
+is_clicked = st.button("Submit", key="submit complex")
 if is_clicked:
     output = model.structured_predict(input, prompt_options, print_input=True)
     st.write(output)