Update README.md

README.md

@@ -132,7 +132,9 @@ Three types of constraints may be specified in disciplined convex programs:
 _Non_-equality constraints, constructed using \(\sim=\), are never allowed. (Such constraints are not convex.)
 
 One or both sides of an equality constraint may be complex; inequality constraints, on the other hand, must be real. A complex equality constraint is equivalent to two real equality constraints, one for the real part and one for the imaginary part. An equality constraint with a real side and a complex side has the effect of constraining the imaginary part of the complex side to be zero."""
-# chunk the text. The prob_threshold should be between (0, 1). The lower it is, the more chunks will be generated.
+# Chunk the text. The prob_threshold should be between (0, 1). The lower it is, the more chunks will be generated.
+# Therefore adjust it to your need, when prob_threshold is small like 0.000001, each token is one chunk,
+# when it is set to 1, the whole text will be one chunk.
 chunks, token_pos = chunk_text(model, doc, tokenizer, prob_threshold=0.5)
 
 # print chunks