fix env

app.py

@@ -14,6 +14,9 @@ import numpy as np
 import matplotlib.pyplot as plt
 import fairseq
 
+logger = logging.getLogger(__name__)
+logger.info("start init")
+
 
 fairseq_path = os.path.dirname(os.path.dirname(fairseq.__file__))
 
@@ -24,8 +27,6 @@ sys.path.insert(1, f"{fairseq_path}/examples")
 from mass.s2s_model import TransformerMASSModel
 from transformer.hub_interface import TransformerHubInterface
 
-logger = logging.getLogger(__name__)
-
 notice_markdown = ("""
 # Directed Acyclic Transformer: A Non-Autoregressive Sequence-to-Sequence Model designed for Parallel Text Generation.
 - **Fast Generation**: DA-Transformer offers faster inference compared to autoregressive Transformers (with fairseq implementation), with a reduction in latency by 7~14x and an increase in throughput by ~20x.