Update app.py

app.py

@@ -107,11 +107,11 @@ def masking(text, k):
     best_sentence = ", ".join([s.strip().capitalize() for s in best_sentence.split(",")])
     
     if k == 1:
-        text = f"The most likely missing species is {best_predictions} (position {best_positions[0]})."
+        text = f"The most likely missing species is '{best_predictions[0]}' (position {best_positions[0]})."
     elif k == 2:
-        text = f"The most likely missing species are {best_predictions[0]} and {best_predictions[1]} (positions {best_positions[0]} and {best_positions[1]})."
+        text = f"The most likely missing species are '{best_predictions[0]}' and '{best_predictions[1]}' (positions {best_positions[0]} and {best_positions[1]})."
     else:
-        text = f"The most likely missing species are {', '.join(best_predictions[:-1])}, and {best_predictions[-1]} (positions {', '.join(map(str, best_positions[:-1]))}, and {best_positions[-1]})."
+        text = f"The most likely missing species are " + ', '.join(f"'{s}'" for s in best_predictions[:-1]) + f", and '{best_predictions[-1]}' (positions {', '.join(map(str, best_positions[:-1]))}, and {best_positions[-1]})."
     text += f"\nThe completed vegetation plot is thus '{best_sentence}'."
     image = return_image("masking", best_predictions[0])
     if image is not None: