Camille commited on
Commit
b252546
1 Parent(s): 619dca5

fix: language

Browse files
Files changed (1) hide show
  1. app.py +7 -6
app.py CHANGED
@@ -16,7 +16,7 @@ DEFAULT_QUERY = "Machines will take over the world soon"
16
  N_RHYMES = 10
17
 
18
 
19
- """LANGUAGE = st.sidebar.radio("Language", ["english", "dutch", "french"],0)
20
  if LANGUAGE == "english":
21
  MODEL_PATH = "bert-large-cased-whole-word-masking"
22
  ITER_FACTOR = 5
@@ -24,14 +24,15 @@ elif LANGUAGE == "dutch":
24
  MODEL_PATH = "GroNLP/bert-base-dutch-cased"
25
  ITER_FACTOR = 10 # Faster model
26
  elif LANGUAGE == "french":
27
-
 
28
  else:
29
  raise NotImplementedError(f"Unsupported language ({LANGUAGE}) expected 'english','dutch' or 'french.")
30
- """
31
 
32
- LANGUAGE = "french"
 
33
  MODEL_PATH = "camembert-base"
34
- ITER_FACTOR = 5
35
 
36
  def main():
37
  st.markdown(
@@ -100,7 +101,7 @@ def load_model(model_path, language):
100
  tokenizer = CamembertTokenizer(vocab_file='rhyme_with_ai/dict.txt')
101
  return (
102
  CamembertModel.from_pretrained(model_path),
103
- CamembertTokenizer.from_pretrained(model_path),
104
  )
105
 
106
  def display_output(status_text, query, current_sentences, previous_sentences):
 
16
  N_RHYMES = 10
17
 
18
 
19
+ LANGUAGE = st.sidebar.radio("Language", ["english", "dutch", "french"],0)
20
  if LANGUAGE == "english":
21
  MODEL_PATH = "bert-large-cased-whole-word-masking"
22
  ITER_FACTOR = 5
 
24
  MODEL_PATH = "GroNLP/bert-base-dutch-cased"
25
  ITER_FACTOR = 10 # Faster model
26
  elif LANGUAGE == "french":
27
+ MODEL_PATH = "camembert-base"
28
+ ITER_FACTOR = 5
29
  else:
30
  raise NotImplementedError(f"Unsupported language ({LANGUAGE}) expected 'english','dutch' or 'french.")
 
31
 
32
+
33
+ """LANGUAGE = "french"
34
  MODEL_PATH = "camembert-base"
35
+ ITER_FACTOR = 5"""
36
 
37
  def main():
38
  st.markdown(
 
101
  tokenizer = CamembertTokenizer(vocab_file='rhyme_with_ai/dict.txt')
102
  return (
103
  CamembertModel.from_pretrained(model_path),
104
+ tokenizer.from_pretrained(model_path),
105
  )
106
 
107
  def display_output(status_text, query, current_sentences, previous_sentences):