dmariko commited on
Commit
273f8b0
·
1 Parent(s): 283d9fc

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +2 -4
app.py CHANGED
@@ -22,8 +22,6 @@ import matplotlib.font_manager as fm
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  MODEL_NAME = 'https://huggingface.co/yseop/FNP_T5_D2T_complete'
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  tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME)
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  model = AutoModelForSeq2SeqLM.from_pretrained(MODEL_NAME)
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-
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-
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  config = AutoConfig.from_pretrained(MODEL_NAME)
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  MODEL_BUF = {
@@ -51,7 +49,7 @@ def change_model_name(name):
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  def generate(text, model, tokenizer):
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  model.eval()
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- input_ids = tokenizer.encode("webNLG:{}".format(text), return_tensors="pt")
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  outputs = model.generate(input_ids, max_length=200, num_beams=2, repetition_penalty=2.5, top_k=50, top_p=0.98, length_penalty=1.0, early_stopping=True)
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  return tokenizer.decode(outputs[0])
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@@ -60,7 +58,7 @@ def generate(text, model, tokenizer):
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  if __name__ == '__main__':
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- text = 'Group profit | valIs | € 115.7 million && € 115.7 million | dTime | in 2019'
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  model_name_list = [
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  MODEL_NAME = 'https://huggingface.co/yseop/FNP_T5_D2T_complete'
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  tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME)
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  model = AutoModelForSeq2SeqLM.from_pretrained(MODEL_NAME)
 
 
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  config = AutoConfig.from_pretrained(MODEL_NAME)
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  MODEL_BUF = {
 
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  def generate(text, model, tokenizer):
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  model.eval()
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+ input_ids = tokenizer.encode("AFA:{}".format(text), return_tensors="pt")
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  outputs = model.generate(input_ids, max_length=200, num_beams=2, repetition_penalty=2.5, top_k=50, top_p=0.98, length_penalty=1.0, early_stopping=True)
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  return tokenizer.decode(outputs[0])
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  if __name__ == '__main__':
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+ text = ['Group profit | valIs | € 115.7 million && € 115.7 million | dTime | in 2019']
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  model_name_list = [
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