Lisibonny commited on
Commit
e9627f7
1 Parent(s): 9942fb1

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +3 -2
app.py CHANGED
@@ -118,6 +118,8 @@ def main():
118
  "Escribe tus términos de búsqueda o haz una pregunta terminando con el caracter ?:"
119
  )
120
 
 
 
121
  if query:
122
 
123
  # Si se especifico una pregunta
@@ -142,13 +144,12 @@ def main():
142
 
143
  text_tokens = tokenizer.convert_ids_to_tokens(input_ids)
144
  answer_start_scores, answer_end_scores = qa_model(inputs)
145
- st.write(answer_start_scores)
146
  answer_start = tf.argmax(answer_start_scores, axis=1).numpy()[0]
147
  answer_end = (tf.argmax(answer_end_scores, axis=1) + 1).numpy()[0]
148
 
149
  answer = tokenizer.convert_tokens_to_string(tokenizer.convert_ids_to_tokens(input_ids[answer_start:answer_end]))
150
 
151
- df_answer.loc[x] = answer, max(answer_start_scores.numpy()[0]), 0, 0
152
  st.write(df_answer.sort_values(by=['score']).tail(10))
153
 
154
  #outputs = qa_model(input_ids=inputs['input_ids'], attention_mask=inputs['attention_mask'])
 
118
  "Escribe tus términos de búsqueda o haz una pregunta terminando con el caracter ?:"
119
  )
120
 
121
+ all_results = pd.DataFrame(columns=["answer","score","start","end"])
122
+
123
  if query:
124
 
125
  # Si se especifico una pregunta
 
144
 
145
  text_tokens = tokenizer.convert_ids_to_tokens(input_ids)
146
  answer_start_scores, answer_end_scores = qa_model(inputs)
 
147
  answer_start = tf.argmax(answer_start_scores, axis=1).numpy()[0]
148
  answer_end = (tf.argmax(answer_end_scores, axis=1) + 1).numpy()[0]
149
 
150
  answer = tokenizer.convert_tokens_to_string(tokenizer.convert_ids_to_tokens(input_ids[answer_start:answer_end]))
151
 
152
+ all_results.loc[i] = answer, max(answer_start_scores.numpy()[0]), 0, 0
153
  st.write(df_answer.sort_values(by=['score']).tail(10))
154
 
155
  #outputs = qa_model(input_ids=inputs['input_ids'], attention_mask=inputs['attention_mask'])