added ner as output

app.py

@@ -4,11 +4,13 @@ from transformers import pipeline
 summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
 ner = pipeline("ner", aggregation_strategy="simple")
 
-def make_summary(article, max_length=130, min_length=30, do_sample=False):
-    return summarizer(article, max_length, min_length, do_sample)
-
 def get_entities(article):
     return ner(article)
+    
+def make_summary(article, max_length=130, min_length=30, do_sample=False):
+    return summarizer(article, max_length, min_length, do_sample), get_entities(article)
+
+
 
-iface = gr.Interface(fn=make_summary, inputs="text", outputs="text")
+iface = gr.Interface(fn=make_summary, inputs="text", outputs=['text', 'text'])
 iface.launch()