Update app.py

app.py

@@ -4,11 +4,16 @@ from transformers import AutoTokenizer, T5Tokenizer, T5ForConditionalGeneration,
 
 st.title('How do LLM choose their words?')
 
-model_checkpoint = st.selectbox(
-    "Model:",
-    ("google/flan-t5-base", "google/flan-t5-xl")
-)
-temperature = st.number_input('Temperature: ', min_value=0.0, max_value=1.0, value=0.5, format='%f')
+col1, col2 = st.columns(2)
+
+with col1:
+    model_checkpoint = st.selectbox(
+        "Model:",
+        ("google/flan-t5-base", "google/flan-t5-xl")
+    )
+
+with col2:
+    temperature = st.number_input('Temperature: ', min_value=0.0, max_value=1.0, value=0.5, format='%f')
 
 tokenizer = AutoTokenizer.from_pretrained(model_checkpoint)
 
@@ -57,4 +62,6 @@ if instruction:
         skip_special_tokens=False
     ).strip()
     
-    st.write(output_text)
+    st.write(output_text)
+
+    st.write(model.compute_transition_scores(outputs.sequences, outputs.scores, normalize_logits=False))