Update app.py

app.py

@@ -27,7 +27,7 @@ def predict(question, lower_threshold, tags):
   retrieved_doc_id = np.argmax(similarities)
 
   if similarities[0][retrieved_doc_id] < float(lower_threshold):
-    ans = pipe(query, candidate_labels=[x.strip() for x in tags.split(",") if x.strip()!=""])
+    ans = pipe(question, candidate_labels=[x.strip() for x in tags.split(",") if x.strip()!=""])
     ans['query_similarity_score'] = similarities[0][retrieved_doc_id]
     return ans
   return {"sequence" : data[retrieved_doc_id][-1], 'query_similarity_score' : similarities[0][retrieved_doc_id]}