SilvusTV commited on
Commit
8d14cb2
1 Parent(s): 3b23563

remove cuda

Browse files

print debug language

Files changed (2) hide show
  1. image.py +3 -4
  2. language.py +2 -2
image.py CHANGED
@@ -15,10 +15,9 @@ def image(url, text):
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  outputs = model(**encoding)
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  logits = outputs.logits
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  idx = logits.argmax(-1).item()
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- # print("question asked:", text)
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- # print("image link:", url)
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- # print("Predicted answer:", model.config.id2label[idx])
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-
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  return model.config.id2label[idx]
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  # prepare image + question
 
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  outputs = model(**encoding)
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  logits = outputs.logits
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  idx = logits.argmax(-1).item()
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+ print("question asked:", text)
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+ print("image link:", url)
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+ print("Predicted answer:", model.config.id2label[idx])
 
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  return model.config.id2label[idx]
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  # prepare image + question
language.py CHANGED
@@ -6,8 +6,8 @@ def longText(answere, question):
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  input_text = "i have a question and answer.\nthe question is : {}\n the response is : {}\n with this information, can you create an answer phrase?".format(question, answere)
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  tokenizer = T5Tokenizer.from_pretrained("google/flan-t5-large")
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- model = T5ForConditionalGeneration.from_pretrained("google/flan-t5-large", device_map="auto")
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- input_ids = tokenizer(input_text, return_tensors="pt").input_ids.to("cuda")
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  outputs = model.generate(input_ids)
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  return tokenizer.decode(outputs[0]).replace("<pad>","").replace("</s>","")
 
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  input_text = "i have a question and answer.\nthe question is : {}\n the response is : {}\n with this information, can you create an answer phrase?".format(question, answere)
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  tokenizer = T5Tokenizer.from_pretrained("google/flan-t5-large")
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+ model = T5ForConditionalGeneration.from_pretrained("google/flan-t5-large")
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+ input_ids = tokenizer(input_text, return_tensors="pt").input_ids
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  outputs = model.generate(input_ids)
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  return tokenizer.decode(outputs[0]).replace("<pad>","").replace("</s>","")