fix bugs for model.py and demo_server.py.

deep_speech_2/cloud/pcloud_submit.sh

-#! /usr/bin/bash
+#! /usr/bin/env bash
 
 TRAIN_MANIFEST="cloud/cloud_manifests/cloud.manifest.train"
 DEV_MANIFEST="cloud/cloud_manifests/cloud.manifest.dev"

deep_speech_2/cloud/pcloud_train.sh

-#! /usr/bin/bash
+#! /usr/bin/env bash
 
 TRAIN_MANIFEST=$1
 DEV_MANIFEST=$2

deep_speech_2/cloud/pcloud_upload_data.sh

-#! /usr/bin/bash
+#! /usr/bin/env bash
 
 mkdir cloud_manifests
 

deep_speech_2/deploy/demo_server.py

@@ -100,7 +100,7 @@ class AsrRequestHandler(SocketServer.BaseRequestHandler):
         finish_time = time.time()
         print("Response Time: %f, Transcript: %s" %
               (finish_time - start_time, transcript))
-        self.request.sendall(transcript)
+        self.request.sendall(transcript.encode('utf-8'))
 
     def _write_to_file(self, data):
         # prepare save dir and filename

deep_speech_2/examples/librispeech/run_data.sh

-#! /usr/bin/bash
+#! /usr/bin/env bash
 
 pushd ../.. > /dev/null
 

deep_speech_2/examples/librispeech/run_infer.sh

-#! /usr/bin/bash
+#! /usr/bin/env bash
 
 pushd ../.. > /dev/null
 

deep_speech_2/examples/librispeech/run_infer_golden.sh

-#! /usr/bin/bash
+#! /usr/bin/env bash
 
 pushd ../.. > /dev/null
 

deep_speech_2/examples/librispeech/run_test.sh

-#! /usr/bin/bash
+#! /usr/bin/env bash
 
 pushd ../.. > /dev/null
 

deep_speech_2/examples/librispeech/run_test_golden.sh

-#! /usr/bin/bash
+#! /usr/bin/env bash
 
 pushd ../.. > /dev/null
 

deep_speech_2/examples/librispeech/run_train.sh

-#! /usr/bin/bash
+#! /usr/bin/env bash
 
 pushd ../.. > /dev/null
 

deep_speech_2/examples/librispeech/run_tune.sh

-#! /usr/bin/bash
+#! /usr/bin/env bash
 
 pushd ../.. > /dev/null
 

deep_speech_2/examples/mandarin/run_demo_client.sh

-#! /usr/bin/bash
+#! /usr/bin/env bash
 
 pushd ../.. > /dev/null
 

deep_speech_2/examples/mandarin/run_demo_server.sh

-#! /usr/bin/bash
+#! /usr/bin/env bash
 # TODO: replace the model with a mandarin model
 
 pushd ../.. > /dev/null

deep_speech_2/examples/tiny/run_data.sh

-#! /usr/bin/bash
+#! /usr/bin/env bash
 
 pushd ../.. > /dev/null
 

deep_speech_2/examples/tiny/run_infer.sh

-#! /usr/bin/bash
+#! /usr/bin/env bash
 
 pushd ../.. > /dev/null
 

deep_speech_2/examples/tiny/run_infer_golden.sh

-#! /usr/bin/bash
+#! /usr/bin/env bash
 
 pushd ../.. > /dev/null
 

deep_speech_2/examples/tiny/run_test.sh

-#! /usr/bin/bash
+#! /usr/bin/env bash
 
 pushd ../.. > /dev/null
 

deep_speech_2/examples/tiny/run_test_golden.sh

-#! /usr/bin/bash
+#! /usr/bin/env bash
 
 pushd ../.. > /dev/null
 

deep_speech_2/examples/tiny/run_train.sh

-#! /usr/bin/bash
+#! /usr/bin/env bash
 
 pushd ../.. > /dev/null
 

deep_speech_2/examples/tiny/run_tune.sh

-#! /usr/bin/bash
+#! /usr/bin/env bash
 
 pushd ../.. > /dev/null
 

deep_speech_2/model_utils/model.py

@@ -7,6 +7,7 @@ import sys
 import os
 import time
 import gzip
+from distutils.dir_util import mkpath
 import paddle.v2 as paddle
 from model_utils.lm_scorer import LmScorer
 from model_utils.decoder import ctc_greedy_decoder, ctc_beam_search_decoder
@@ -79,7 +80,7 @@ class DeepSpeech2Model(object):
         """
         # prepare model output directory
         if not os.path.exists(output_model_dir):
-            os.mkdir(output_model_dir)
+            mkpath(output_model_dir)
 
         # prepare optimizer and trainer
         optimizer = paddle.optimizer.Adam(

deep_speech_2/models/aishell/download_model.sh

-#! /usr/bin/bash
+#! /usr/bin/env bash
 
 source ../../utils/utility.sh
 

deep_speech_2/models/librispeech/download_model.sh

-#! /usr/bin/bash
+#! /usr/bin/env bash
 
 source ../../utils/utility.sh
 

deep_speech_2/models/lm/download_lm_ch.sh

-#! /usr/bin/bash
+#! /usr/bin/env bash
 
 source ../../utils/utility.sh
 

deep_speech_2/models/lm/download_lm_en.sh

-#! /usr/bin/bash
+#! /usr/bin/env bash
 
 source ../../utils/utility.sh
 

deep_speech_2/setup.sh

-#!/bin/bash
+#! /usr/bin/env bash
 
 # install python dependencies
 if [ -f "requirements.txt" ]; then