Update app.py

app.py

@@ -52,6 +52,7 @@ def broad_scope_class_predictor(class_embeddings, abstract_embedding, N=5, Sensi
         else:
             continue
     HighestSimilarity = predictions.nlargest(N, ['Score'])
+    return HighestSimilarity
 
 def sentence_embedder(sentences, model_path):
   tokenizer = AutoTokenizer.from_pretrained(model_path) #instantiating the sentence embedder using HuggingFace library
@@ -63,7 +64,7 @@ def sentence_embedder(sentences, model_path):
   sentence_embeddings = mean_pooling(model_output, encoded_input['attention_mask']) #outputs a (1, 384) tensor representation of input text
   return sentence_embeddings
     
-    return HighestSimilarity
+
     
 def add_text(history, text):
     history = history + [(text, None)]