print no labels if subword labels are found or exception is thrown

app.py

@@ -1,8 +1,8 @@
 # -*- coding: utf-8 -*-
 import os
 
-os.system("pip3 install torch==1.10.1+cpu torchvision==0.11.2+cpu torchaudio==0.10.1+cpu -f "
-          "https://download.pytorch.org/whl/cpu/torch_stable.html")
+# os.system("pip3 install torch==1.10.1+cpu torchvision==0.11.2+cpu torchaudio==0.10.1+cpu -f "
+#           "https://download.pytorch.org/whl/cpu/torch_stable.html")
 
 import gradio as gr
 from transformers import pipeline
@@ -70,7 +70,10 @@ def set_entities(sentence, entities):
     ents = []
     for label, start, end in entities:
         ents.append(doc.char_span(start, end, label))
-    doc.ents = ents
+    try:
+        doc.ents = ents
+    except TypeError:
+        pass
     return doc
 
 
@@ -100,5 +103,6 @@ intf = gr.Interface(fn=apply_ner, inputs="text", outputs="html", title='Slovak N
                             "<li><em>Memorial založili v roku 1987 disidenti na čele s laureátom Nobelovej ceny za mier akademikom Andrejom Sacharovom.</em> (year classified as location)</li>"
                             "<li><em>Išla som do Petrozavodska navštíviť vo väzbe Jurija Dmitrijeva, vedúceho karelskej pobočky Memorialu.</em> (<em>Memorialu</em> classified as location instead of organization)</li></ul>"
                             "Year is often missclassified as location, this could be fixed by introducing new time label.<br/>"
-                            "Location and organization can be difficult to distinguish in some cases, because both are suitable. Is Internation Space Station organization or location?")
+                            "Location and organization can be difficult to distinguish in some cases, because both are suitable. Is Internation Space Station organization or location?",
+                    analytics_enabled=False)
 intf.launch()