feat: disabled cache and refactored dbpepdia spotlight

app.py

@@ -1,7 +1,6 @@
 import gradio as gr
 
 from examples.anon import demo as anon_demo
-from examples.common import NLP
 from examples.dbpedia import demo as dbpedia_demo
 from examples.keyphrases import demo as keyphrases_demo
 from examples.relation import demo as relation_demo
@@ -16,6 +15,4 @@ with demo:
     )
 
 if __name__ == '__main__':
-    NLP.add_pipe("dbpedia_spotlight", config={'dbpedia_rest_endpoint': 'https://dbpedia-spotlight.dsd.sztaki.hu/hu',
-                                              'overwrite_ents': False})
-    demo.launch()
+    demo.launch(share=True)

examples/anon.py

@@ -74,5 +74,5 @@ demo = gr.Interface(
     outputs=[gr.Textbox(label="Anonymized text", show_label=True),
              gr.Textbox(label="Tags", show_label=True)],
     examples=EXAMPLES,
-    # cache_examples=True,
+    cache_examples=False,
 )

examples/dbpedia.py

@@ -3,6 +3,8 @@ import pandas as pd
 
 from examples.common import NLP
 
+NLP.add_pipe("dbpedia_spotlight", config={'dbpedia_rest_endpoint': 'https://dbpedia-spotlight.dsd.sztaki.hu/hu',
+                                          'overwrite_ents': False})
 
 def process(text: str) -> pd.DataFrame:
     doc = NLP(text)
@@ -24,5 +26,5 @@ demo = gr.Interface(
     inputs=gr.Textbox(value=EXAMPLES[0], lines=10, label="Input text", show_label=True),
     outputs=gr.DataFrame(label="DBpedia Spotlight Annotations", show_label=False, max_cols=2, max_rows=10),
     examples=EXAMPLES,
-    # cache_examples=True,
+    cache_examples=False,
 )

examples/relation.py

@@ -49,5 +49,5 @@ demo = gr.Interface(
     inputs=gr.Textbox(value=EXAMPLES[0], lines=10, label="Input text", show_label=True),
     outputs=gr.DataFrame(label="Keywords", show_label=False, max_cols=3, max_rows=1),
     examples=EXAMPLES,
-    # cache_examples=True,
+    cache_examples=False,
 )