fail safe

app.py

@@ -106,15 +106,7 @@ def run(claim):
     try:
         js = loren.check(claim)
     except:
-        js = {
-            'id': 0,
-            'evidence': ['EVIDENCE1', 'EVIDENCE2'],
-            'question': ['QUESTION1', 'QUESTION2'],
-            'claim_phrases': ['CLAIMPHRASE1', 'CLAIMPHRASE2'],
-            'local_premises': [['E1 ' * 100, 'E1 ' * 100, 'E1 ' * 10], ['E2', 'E2', 'E2']],
-            'phrase_veracity': [[0.1, 0.5, 0.4], [0.1, 0.7, 0.2]],
-            'claim_veracity': 'Oops! Something went wrong.'
-        }
+        return 'Oops, something went wrong.', '', ''
     loren.logger.warning(str(js))
     ev_html = gradio_formatter(js, 'e')
     z_html = gradio_formatter(js, 'z')
@@ -134,8 +126,8 @@ iface = gr.Interface(
               'The Cry of the Owl is based on a book by an American.',
               'Smriti Mandhana is an Indian woman.'],
     title="LOREN",
-    layout='vertical',
-    description="LOREN is an interpretable Fact Verification model against Wikipedia. "
+    layout='horizontal',
+    description="LOREN is an interpretable Fact Verification model using Wikipedia as its knowledge source. "
                 "This is a demo system for the AAAI 2022 paper: \"LOREN: Logic-Regularized Reasoning for Interpretable Fact Verification\"(https://arxiv.org/abs/2012.13577). "
                 "See the paper for technical details. You can add a *FLAG* on the bottom to record interesting or bad cases! "
                 "(Note that the demo system directly retrieves evidence from an up-to-date Wikipedia, which is different from the evidence used in the paper.)",