Update code snippet to output seconds as float

README.md

@@ -54,7 +54,7 @@ segments, info = model.transcribe("audio.mp3", beam_size=5)
 print("Detected language '%s' with probability %f" % (info.language, info.language_probability))
 
 for segment in segments:
-    print("[%ds -> %ds] %s" % (segment.start, segment.end, segment.text))
+    print("[%.2fs -> %.2fs] %s" % (segment.start, segment.end, segment.text))
 ```
 
 ## Comparing performance against openai/whisper