Add inference and explanation run time

app.py

@@ -4,6 +4,7 @@ from transformers import (AutoModelForSequenceClassification, AutoTokenizer,
                           pipeline)
 import shap
 from PIL import Image
+import time
 
 st.set_option('deprecation.showPyplotGlobalUse', False)
 output_width = 800
@@ -33,16 +34,26 @@ tokenizer, model = load_model(model_name)
 pred = pipeline("text-classification", model=model, tokenizer=tokenizer, top_k=None)
 explainer = shap.Explainer(pred, rescale_to_logits = rescale_logits)
 
-col1, col2 = st.columns(2)
+col1, col2, col3 = st.columns(3)
 text = col1.text_area("Enter text input", value = "Classify me.")
 
+start_time = time.time()
 result = pred(text)
+inference_time = time.time() - start_time
+
+col3.write('')
+col3.write(f'**Inference Time:** {inference_time: .4f}')
+
 top_pred = result[0][0]['label']
 col2.write('')
 for label in result[0]:
     col2.write(f'**{label["label"]}**: {label["score"]: .2f}')
 
 shap_values = explainer([text])
+explanation_time = shap_values.compute_time
+
+col3.write('')
+col3.write(f'**Explanation Time:** {explanation_time: .4f}')
 
 force_plot = shap.plots.text(shap_values, display=False)
 bar_plot = shap.plots.bar(shap_values[0, :, top_pred], order=shap.Explanation.argsort.flip, show=False)
@@ -58,4 +69,4 @@ st.markdown(f'<center><p class="big-font">Shap Bar Plot for <i>{top_pred}</i> Pr
 st.pyplot(bar_plot, clear_figure=True)
 
 st.markdown('<center><p class="big-font">Shap Interactive Force Plot</p></center>', unsafe_allow_html=True)
-components.html(force_plot, height=output_height, width=output_width, scrolling=True)
+components.html(force_plot, height=output_height, width=output_width, scrolling=True)