Update README.md

README.md

@@ -25,7 +25,7 @@ pip install ctranslate2 OpenNMT-py==2.* sentencepiece
 2. Download model in some dirrectory 
 
 3. Use with the Python program
-[code]
+```
 import ctranslate2
 import sentencepiece as spm
 def requestor0(block, prompt="Summarize", ender="0o0"):
@@ -47,6 +47,6 @@ text="""The first-ever published research on Tinshemet Cave reveals that Neander
 text=text.replace("\n","")
 rtext=requestor0(text,"Summarize")
 print(rtext+"\n")
-[/code]
+```
 The prompts on which the model was trained:
 "Translate to english"; "Translate to russian"; "Generate question", "Make a title" "What is the topic of this text?", "Summarize", "Summarize briefly", "Make a step-by-step plan for this text" and russian analogs for this commnads. However, some combinations that were not present in the training sample also work. For example, "Translate briefly" can give a translation about twice as compact as the original text.