Update app.py

app.py

@@ -60,13 +60,6 @@ def broad_scope_class_predictor(class_embeddings, abstract_embedding, N=5, Sensi
     elif Sensitivity == 'Low':
         Threshold = 0.35
     GreenLikelihood = 'False'
-    for i in range(len(greenpredictions)):
-        score = greenpredictions.iloc[i, 1]
-        if float(score) >= Threshold:
-            GreenLikelihood = 'True'
-            break
-        else:
-            continue
     HighestSimilarity = predictions.nlargest(N, ['Score'])
     return HighestSimilarity