enable per model choice of training epoch;make config file exchangeable

qurator/sbb_ner/webapp/app.py

@@ -18,7 +18,7 @@ from pytorch_pretrained_bert.modeling import (CONFIG_NAME,
 
 app = Flask(__name__)
 
-app.config.from_json('config.json')
+app.config.from_json('config.json' if not os.environ.get('CONFIG') else os.environ.get('CONFIG'))
 
 logger = logging.getLogger(__name__)
 
@@ -161,7 +161,7 @@ class PredictorStore:
         if self._model_id != model_id:
 
             self._predictor = NERPredictor(model_dir=model['model_dir'],
-                                           epoch=app.config['EPOCH'],
+                                           epoch=model['epoch'],
                                            batch_size=app.config['BATCH_SIZE'],
                                            no_cuda=False if not os.environ.get('USE_CUDA') else
                                            os.environ.get('USE_CUDA').lower() == 'false')

qurator/sbb_ner/webapp/config.json

@@ -1,30 +1,33 @@
 {
   "DATA_PATH": "data/digisam/fulltext.sqlite3",
-  "EPOCH": 7,
   "BATCH_SIZE": 256,
   "MODELS": [
     {
       "name": "DC-SBB + CONLL + GERMEVAL",
       "id": 1,
       "model_dir": "data/konvens2019/build-wd_0.03/bert-all-german-de-finetuned",
+      "epoch": 7,
       "default": true
     },
     {
       "name": "DC-SBB + CONLL + GERMEVAL + SBB",
       "id": 2,
       "model_dir": "data/konvens2019/build-on-all-german-de-finetuned/bert-sbb-de-finetuned",
+      "epoch": 7,
       "default": false
     },
     {
       "name": "DC-SBB + SBB",
       "id": 3,
       "model_dir": "data/konvens2019/build-wd_0.03/bert-sbb-de-finetuned",
+      "epoch": 7,
       "default": false
     },
     {
       "name": "CONLL + GERMEVAL",
       "id": 4,
       "model_dir": "data/konvens2019/build-wd_0.03/bert-all-german-baseline",
+      "epoch": 7,
       "default": false
     }
   ],