use onnx models, new deepdoc (#68)

rag/app/qa.py

@@ -1,13 +1,25 @@
-import random
+#  Licensed under the Apache License, Version 2.0 (the "License");
+#  you may not use this file except in compliance with the License.
+#  You may obtain a copy of the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+#  Unless required by applicable law or agreed to in writing, software
+#  distributed under the License is distributed on an "AS IS" BASIS,
+#  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+#  See the License for the specific language governing permissions and
+#  limitations under the License.
+#
 import re
 from io import BytesIO
 from nltk import word_tokenize
 from openpyxl import load_workbook
-from rag.parser import is_english, random_choices
+from deepdoc.parser import is_english, random_choices
 from rag.nlp import huqie, stemmer
+from deepdoc.parser import ExcelParser
 
 
-class Excel(object):
+class Excel(ExcelParser):
     def __call__(self, fnm, binary=None, callback=None):
         if not binary:
             wb = load_workbook(fnm)