shripadbhat commited on
Commit
5d9a931
·
1 Parent(s): dbad405

Update app.py

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Files changed (1) hide show
  1. app.py +5 -5
app.py CHANGED
@@ -35,9 +35,9 @@ def fetch_answers(question, clincal_note ):
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  if answer.startswith('.') or answer.startswith(':'):
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  answer = answer[1:].strip()
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  if answer in passage_sentences[i]:
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- evidence_sentence = passage_sentences[i]
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- model_input = f"question: {query} context: {evidence_sentence}"
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  #encoded_input = tokenizer([model_input],
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  # return_tensors='pt',
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  # max_length=512,
@@ -46,11 +46,11 @@ def fetch_answers(question, clincal_note ):
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  #output = model.generate(input_ids = encoded_input.input_ids,
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  # attention_mask = encoded_input.attention_mask)
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  #output_answer = tokenizer.decode(output[0], skip_special_tokens=True)
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- output_answer = text2text_generator(model_input)[0]['generated_text']
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- break
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  result_str = "# ANSWER "+str(count)+": "+ output_answer +"\n"
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- result_str = result_str + "REFERENCE: "+ answer + "\n\n"
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  top_5_query_paragraph_answer_list += result_str
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  count+=1
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  if answer.startswith('.') or answer.startswith(':'):
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  answer = answer[1:].strip()
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  if answer in passage_sentences[i]:
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+ evidence_sentence = evidence_sentence + " " + passage_sentences[i]
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+
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  #encoded_input = tokenizer([model_input],
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  # return_tensors='pt',
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  # max_length=512,
 
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  #output = model.generate(input_ids = encoded_input.input_ids,
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  # attention_mask = encoded_input.attention_mask)
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  #output_answer = tokenizer.decode(output[0], skip_special_tokens=True)
 
 
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+ model_input = f"question: {query} context: {evidence_sentence}"
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+ output_answer = text2text_generator(model_input)[0]['generated_text']
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  result_str = "# ANSWER "+str(count)+": "+ output_answer +"\n"
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+ result_str = result_str + "REFERENCE: "+ evidence_sentence + "\n\n"
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  top_5_query_paragraph_answer_list += result_str
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  count+=1
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