Add markdown render for chatbot

app.py

@@ -111,6 +111,7 @@ with gr.Blocks() as generate_tab:
                 label="Chatbot",
                 value=[[None, None]],
                 height=420,
+                render_markdown=True,
             )
             # chatbot_input = gr.Textbox(placeholder="Type your message here :)")
             with gr.Row():

esgen/functions.py

@@ -32,7 +32,7 @@ def entity_schema_generation(name, class_id, threshold, property_types):
 
 def input_yes(es_json, history):
     if not es_json["pending"]:
-        es = EntitySchema(name="", class_id="")
+        es = NestedEntitySchema(name="")
         es.load_es_json(es_json)
         return str(es), es.__json__(), history
     # add the pending property to properties
@@ -44,7 +44,7 @@ def input_yes(es_json, history):
         "comment": init_comment_verbaliser(required_prop["label"], required_prop["frequency"])
     }
     es_json["properties"].append(constraint_dict)
-    es = EntitySchema(name="", class_id="")
+    es = NestedEntitySchema(name="")
     es.load_es_json(es_json)
     try:
         prop = es.pending[0]
@@ -60,7 +60,7 @@ def input_yes(es_json, history):
 
 def input_optional(es_json, history):
     if not es_json["pending"]:
-        es = EntitySchema(name="", class_id="")
+        es = NestedEntitySchema(name="")
         es.load_es_json(es_json)
         return str(es), es.__json__(), history
     # add the pending property to optional properties
@@ -72,7 +72,7 @@ def input_optional(es_json, history):
         "comment": init_comment_verbaliser(optional_prop["label"], optional_prop["frequency"])
     }
     es_json["optional"].append(constraint_json)
-    es = EntitySchema(name="", class_id="")
+    es = NestedEntitySchema(name="")
     es.load_es_json(es_json)
     try:
         prop = es.pending[0]
@@ -88,7 +88,7 @@ def input_optional(es_json, history):
 
 def input_no(es_json, history):
     if not es_json["pending"]:
-        es = EntitySchema(name="", class_id="")
+        es = NestedEntitySchema(name="")
         es.load_es_json(es_json)
         return str(es), es.__json__(), history
     # add the pending property to rejected properties
@@ -100,7 +100,7 @@ def input_no(es_json, history):
         "comment": init_comment_verbaliser(rejected_prop["label"])
     }
     es_json["rejected"].append(constraint_json)
-    es = EntitySchema(name="", class_id="")
+    es = NestedEntitySchema(name="")
     es.load_es_json(es_json)
     try:
         prop = es.pending[0]
@@ -116,12 +116,12 @@ def input_no(es_json, history):
 
 def input_skip(es_json, history):
     if not es_json["pending"]:
-        es = EntitySchema(name="")
+        es = NestedEntitySchema(name="")
         es.load_es_json(es_json)
         return str(es), es.__json__(), history
     # add the pending property to skip properties
     es_json["skip"].append(es_json["pending"].pop(0))
-    es = EntitySchema(name="", class_id="")
+    es = NestedEntitySchema(name="")
     es.load_es_json(es_json)
     try:
         prop = es.pending[0]

esgen/verbalizer.py

@@ -9,14 +9,9 @@ def init_comment_verbaliser(prop_label, freq=None):
 def chatbot_verbaliser(prop_label, freq, examples):
     message = f"{freq * 100:.2f}% instances within the class use the property '{prop_label}'. Here are examples:\n"
     # verbalise examples
-    # TODO: remove IDs and change strings to links
-    # example_lines = [f"{example['subjectLabel']} [https://www.wikidata.org/wiki/{example['subject']}], "
-    #                  f"{example['propertyLabel']} [https://www.wikidata.org/wiki/Property:{example['property']}], "
-    #                  f"{example['objectLabel']} [https://www.wikidata.org/wiki/{example['object']}]"
-    #                  for example in examples]
-    example_lines = [f"{example['subjectLabel']} ({example['subject']}), "
-                     f"{example['propertyLabel']} ({example['property']}), "
-                     f"{example['objectLabel']} ({example['object']})"
+    example_lines = [f"{example['subjectLabel']} ([{example['subject']}](https://www.wikidata.org/wiki/{example['subject']})), "
+                     f"{example['propertyLabel']} ([{example['property']}](https://www.wikidata.org/wiki/Property:{example['property']})), "
+                     f"{example['objectLabel']} ([{example['object']}](https://www.wikidata.org/wiki/{example['object']}))"
                      for example in examples]
     examples_verbalised = '\n'.join([f"- {line}" for line in example_lines])
     message += examples_verbalised