fixed seed arg to ensure reproducibility in conditional-samples model

src/interactive_conditional_samples.py

@@ -20,8 +20,6 @@ def interact_model(
     if batch_size is None:
         batch_size = 1
     assert nsamples % batch_size == 0
-    np.random.seed(seed)
-    tf.set_random_seed(seed)
 
     enc = encoder.get_encoder(model_name)
     hparams = model.default_hparams()
@@ -35,6 +33,8 @@ def interact_model(
 
     with tf.Session(graph=tf.Graph()) as sess:
         context = tf.placeholder(tf.int32, [batch_size, None])
+        np.random.seed(seed)
+        tf.set_random_seed(seed)
         output = sample.sample_sequence(
             hparams=hparams, length=length,
             context=context,