"""
jsonify:是用于处理序列化json数据的函数，就是将数据组装成json格式返回
http://flask.pocoo.org/docs/0.12/api/#module-flask.json
"""
@app.route("/")
def index():
return render_template("index.html")
#
'''
初始化seq2seqModel，并进行动作
1. 调用执行器的主程序
2. 生成一个在线decode进程，来提供在线聊天服务
'''
#_________________________________________________________________
import tensorflow as tf
import execute
sess = tf.Session()
sess, model,vocab, rev_vocab = execute.init_session(sess,conf.gen_config)
#_________________________________________________________________
# 启动APP
if (__name__ == "__main__"):
app.run(host = '0.0.0.0', port = 8808)
res_msg=res_msg.strip()
# 如果接受到的内容为空，则给出相应的恢复
if res_msg == ' ':
res_msg = '请与我聊聊天吧'
return jsonify( { 'text': res_msg } )
@app.route("/")
def index():
return render_template("index.html")
#
'''
初始化seq2seqModel，并进行动作
1. 调用执行器的主程序
2. 生成一个在线decode进程，来提供在线聊天服务
'''
#_________________________________________________________________
import tensorflow as tf
import execute
sess = tf.Session()
sess, model, enc_vocab, rev_dec_vocab = execute.init_session(sess, conf='seq2seq_serve.ini')
#_________________________________________________________________
# 启动APP
if (__name__ == "__main__"):
app.run(host = '0.0.0.0', port = 8808)
img_path = os.path.join(app.root_path, secure_filename) #获取图片的保存路径
img_file.save(img_path) #将图片保存在应用的根目录下
print("图片上传成功.")
"""
"""
return flask.redirect(flask.url_for(endpoint="predict"))
return "图片上传失败"
"""
"""
app.add_url_rule(rule="/upload/",
endpoint="upload",
view_func=upload_image,
methods=["POST"])
def redirect_upload():
return flask.render_template(template_name_or_list="upload_image.html")
"""
"""
app.add_url_rule(rule="/", endpoint="homepage", view_func=redirect_upload)
sess = tf.Session()
sess, model, graph = execute.init_session(sess, conf='config.ini')
if __name__ == "__main__":
app.run(host="localhost", port=7777, debug=False)
jsonify:是用于处理序列化json数据的函数，就是将数据组装成json格式返回
http://flask.pocoo.org/docs/0.12/api/#module-flask.json
"""
@app.route("/")
def index():
return render_template("index.html")
#
'''
初始化seq2seqModel，并进行动作
1. 调用执行器的主程序
2. 生成一个在线decode进程，来提供在线聊天服务
'''
#_________________________________________________________________
import tensorflow as tf
import execute
sess = tf.Session()
sess, model, enc_vocab, rev_dec_vocab = execute.init_session(
sess, conf='seq2seq_serve.ini')
#_________________________________________________________________
# 启动APP
if (__name__ == "__main__"):
app.run(host='0.0.0.0', port=8808)
from flask import Flask, render_template, request
from flask import jsonify
app = Flask(__name__, static_url_path="/static")
# Routing
@app.route('/message', methods=['POST'])
def reply():
return jsonify({
'text':
execute.decode_line(sess, model, enc_vocab, rev_dec_vocab,
request.form['msg'])
})
@app.route("/")
def index():
return render_template("index.html")
# Init seq2seq model
import tensorflow as tf
import execute
sess = tf.Session()
sess, model, enc_vocab, rev_dec_vocab = execute.init_session(sess)
# start app
if (__name__ == "__main__"):
app.run(port=5000)
