Track shap tqdm

app.py

@@ -133,10 +133,9 @@ with gr.Blocks() as demo:
     # transformers pipeline, and I don't feel like figuring out how to
     # reimplement that, so we'll just use a regular transformers pipeline here
     # for interpretation.
-    def interpretation_function(text, progress=gr.Progress()):
+    def interpretation_function(text, progress=gr.Progress(track_tqdm=True)):
 
         explainer = shap.Explainer(model_interp)
-        progress((0, None), "Generating explanations; this takes a long time")
         shap_values = explainer([text])
 
         # Dimensions are (batch size, text size, number of classes)