Update app.py

app.py

@@ -81,8 +81,9 @@ tokenizer = MarkupLMTokenizer(
 
 def greet(name):
     
-    question = name
-    single_html_string = "<h1>Grid Fin</h1><table><tr><td><p>Cost Risk</p></td><td><p>None</p></td></tr><tr><td><p>Schedule Risk</p></td><td><p>None</p></td></tr></table><h1>Propulsion</h1><table><tr><td><p>Cost Risk</p></td><td><p>Yes, material overrun</p></td></tr><tr><td><p>Schedule Risk</p></td><td><p>None</p></td></tr></table><h1>Nose Cone</h1><table><tr><td><p>Cost Risk</p></td><td><p>None</p></td></tr><tr><td><p>Schedule Risk</p></td><td><p>None</p></td></tr></table>"
+    question = name[1]
+    single_html_string = name[0]
+    #single_html_string = "<h1>Grid Fin</h1><table><tr><td><p>Cost Risk</p></td><td><p>None</p></td></tr><tr><td><p>Schedule Risk</p></td><td><p>None</p></td></tr></table><h1>Propulsion</h1><table><tr><td><p>Cost Risk</p></td><td><p>Yes, material overrun</p></td></tr><tr><td><p>Schedule Risk</p></td><td><p>None</p></td></tr></table><h1>Nose Cone</h1><table><tr><td><p>Cost Risk</p></td><td><p>None</p></td></tr><tr><td><p>Schedule Risk</p></td><td><p>None</p></td></tr></table>"
     inputs = tokenizer.encode_plus(question, single_html_string, return_tensors="pt", padding="max_length", max_length=30, truncation=True) 
     
     answer_start_scores, answer_end_scores = model(**inputs, return_dict=False)