feat:NLP for IBN in UUI

NLP for IBN in UUI
Issue-ID: USECASEUI-525
Signed-off-by: karbon <yangbo6@chinatelecom.cn>
Change-Id: I9f26312748ebaedb3115035c4af8b0abf19d59bc

1 files changed, 6 insertions, 33 deletions

diff --git a/scripts/api_squad_online.py b/scripts/api_squad_online.py
index 9cc6b08..abe3d5f 100644
--- a/scripts/api_squad_online.py
+++ b/scripts/api_squad_online.py
@@ -1,4 +1,3 @@
-
 #!/usr/bin/env python
 # coding: utf-8
 
@@ -6,30 +5,15 @@
 # date = 20201204
 
 
-
 from __future__ import absolute_import
 from __future__ import division
 from __future__ import print_function
 import json
-import datetime
-import threading
 import sys
 from flask import Flask, abort, request, jsonify
-from concurrent.futures import ThreadPoolExecutor
 
-import collections
-import math
 import os
-import random
-import modeling
-import optimization
-import tokenization
-import six
-import tensorflow as tf
-import pandas as pd
-import numpy as np
-import requests
-from global_setting import *
+from global_setting import questions, tokenizer_ch, CUDA_VISIBLE_DEVICES
 from create_squad_features import get_squad_feature_result
 
 
@@ -38,17 +22,15 @@ app = Flask(__name__)
 
 class AI2Flask:
 
-    def __init__(self, port=5000,workers=4):
+    def __init__(self, port=5000, workers=4):
         self.app = app
         self.port = port
 
-
-        
         @app.route('/api/online/predict', methods=['POST'])
         def text_analyse():
             if not request.json:
                 abort(400)
-           
+
             else:
                 try:
                     try:
@@ -56,7 +38,6 @@ class AI2Flask:
                     except:
                         title = 'Not available'
                     text_origin = request.json['text']
-                   
 
                     if len(text_origin) > 800:
                         text = text_origin[:800]
@@ -65,23 +46,16 @@ class AI2Flask:
 
                     result = {}
                     for ques in questions:
-                        tmp = get_squad_feature_result(title=title,text=text,tokenizer=tokenizer_ch,question=[ques],url='http://localhost:8502/v1/models/predict:predict')
+                        tmp = get_squad_feature_result(title=title, text=text, tokenizer=tokenizer_ch, question=[ques], url='http://localhost:8502/v1/models/predict:predict')
                         result[ques] = dict(tmp)[ques]
-                              
-                    
+
                     print('finished!!')
                     return json.dumps(result)
- 
-            
+
                 except KeyError as e:
                     return jsonify({"Des": 'KeyError: {}'.format(str(e)), "Result": 'None', "Status": "Error"})
                 except Exception as e:
                     return jsonify({"Des": str(e), "Result": 'None', "Status": "Error"})
-        
-        
-    
-
-
 
         @app.route('/api/online/load', methods=['POST'])
         def load_model():
@@ -105,4 +79,3 @@ class AI2Flask:
 if __name__ == '__main__':
     port = sys.argv[1]
     AI2Flask(port=port).start()
-