addedd logging

handler.py

@@ -5,9 +5,14 @@ import weakref
 
 from utils import clean_str, clean_str_nopunct
 import torch
-from transformers import BertTokenizer, BertForSequenceClassification
 from utils import MultiHeadModel, BertInputBuilder, get_num_words
 
+import transformers
+from transformers import BertTokenizer, BertForSequenceClassification
+
+
+transformers.logging.set_verbosity_debug()
+
 UPTAKE_MODEL='ddemszky/uptake-model'
 REASONING_MODEL ='ddemszky/student-reasoning'
 QUESTION_MODEL ='ddemszky/question-detection'

test.py

@@ -9,12 +9,12 @@ example = {
  "inputs": [
    {"uid": "1", "speaker": "Alice", "text": "How much is the fish?" },
    {"uid": "2", "speaker": "Bob", "text": "I do not know about the fish. Because you put a long side and it’s a long side. What do you think." },
-{"uid": "3", "speaker": "Alice", "text": "OK, thank you Bob." },
+{"uid": "3", "speaker": "Alice", "text": "OK, thank you Bob." }
  ],
  "parameters": {
    "uptake_min_num_words": 5,
    "uptake_speaker": "Bob",
-    "filename": "sample.csv",
+    "filename": "sample.csv"
  }
 }