diff --git a/examples/11_char_rnn_gist.py b/examples/11_char_rnn_gist.py
index c51c099f..8e15e66a 100644
--- a/examples/11_char_rnn_gist.py
+++ b/examples/11_char_rnn_gist.py
@@ -59,7 +59,7 @@ def create_rnn(seq, hidden_size=HIDDEN_SIZE):
     return output, in_state, out_state
 
 def create_model(seq, temp, vocab, hidden=HIDDEN_SIZE):
-    seq = tf.one_hot(seq, len(vocab))
+    seq = tf.one_hot(seq - 1, len(vocab))
     output, in_state, out_state = create_rnn(seq, hidden)
     # fully_connected is syntactic sugar for tf.matmul(w, output) + b
     # it will create w and b for us
@@ -103,7 +103,7 @@ def online_inference(sess, vocab, seq, sample, temp, in_state, out_state, seed='
         if state is not None:
             feed.update({in_state: state})
         index, state = sess.run([sample, out_state], feed)
-        sentence += vocab_decode(index, vocab)
+        sentence += vocab_decode(index + 1, vocab)
     print(sentence)
 
 def main():
@@ -120,4 +120,4 @@ def main():
     training(vocab, seq, loss, optimizer, global_step, temp, sample, in_state, out_state)
     
 if __name__ == '__main__':
-    main()
\ No newline at end of file
+    main()