Update README.md

README.md

@@ -38,7 +38,8 @@ Model	Sample Output (excerpt)
 Markov (n=3)	“I loved you so sincerely, so sincerely, so silented you so tenderly, without hope…”
 Markov (n=5)	“I loved you so tenderly, without let it not want to cause you soul; But hope, Tormented you…”
 GPT-2 (medium)	“I love you with all my heart, without reserve. I am in love with you now, and have never been. I am in love with you now, and will never be…”
-💡 Key Observations
+
+## Key Observations
 
 Markov chains: good for local coherence, but collapse quickly.
 
@@ -54,14 +55,16 @@ Markov chains
 
 mc = NGramMarkov(n=5)
 mc.train(corpus)
-print(mc.generate("I loved you", 200))
+print(mc.generate("<Pushkin Poetry Corpus of Choice>", 200))
 
 
 ## GPT-2 (via 🤗 Transformers)
 
 from transformers import pipeline
+
 generator = pipeline("text-generation", model="gpt2-medium")
-print(generator("I loved you", max_length=80, do_sample=True))
+
+print(generator("<Pushkin Poetry Corpus of Choice>", max_length=80, do_sample=True))
 
 ✨ Author