Added examples and reverted to dictionary/JSON output

app.py

@@ -24,17 +24,23 @@ def extract_answer(question, url):
         context = context.replace("\n\n", "\n")
     
     answer_dict = qa_model(question = question, context = context)
-    return answer_dict['answer']
+    return answer_dict
+
 
 title = "Webpage-Based Question Answering"
 description = "Using a webpage as context for extractive question answering."
 enable_queue=True
+examples=[
+    ["Where was Messi born?", "https://en.wikipedia.org/wiki/Lionel_Messi"],
+    ["When was Cristiano Ronaldo born?", "https://en.wikipedia.org/wiki/Cristiano_Ronaldo"]
+]
 
 iface = gr.Interface(
     fn=extract_answer, 
     inputs=["text", "text"], 
     outputs="text",
     title=title,
-    description=description
+    description=description,
+    examples=examples
 )
 iface.launch(enable_queue=enable_queue)