Update app.py
Browse files
app.py
CHANGED
@@ -137,7 +137,6 @@ def main():
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text=remove_URL(text)
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inputs = tokenizer(query, text[0:512], return_tensors='tf')
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outputs = qa_model(input_ids=inputs['input_ids'], attention_mask=inputs['attention_mask'])
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-
st.write("HI")
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answer_start_index = int(tf.math.argmax(outputs.start_logits, axis=-1)[0])
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answer_end_index = int(tf.math.argmax(outputs.end_logits, axis=-1)[0])
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#answer_start_scores = tf.nn.softmax(outputs.start_logits)
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@@ -153,6 +152,7 @@ def main():
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#score = answer_start_scores*answer_end_scores
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#st.write(f'Aqui {answer_start_scores}' )
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#st.write(answer_end_scores)
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cantidad_respuestas = cantidad_respuestas + 1
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df_answer.loc[i, "answer"] = answer
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lista_noticias_respuestas.append(df_answer.loc[i].to_frame().T)
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text=remove_URL(text)
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inputs = tokenizer(query, text[0:512], return_tensors='tf')
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outputs = qa_model(input_ids=inputs['input_ids'], attention_mask=inputs['attention_mask'])
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answer_start_index = int(tf.math.argmax(outputs.start_logits, axis=-1)[0])
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answer_end_index = int(tf.math.argmax(outputs.end_logits, axis=-1)[0])
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#answer_start_scores = tf.nn.softmax(outputs.start_logits)
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#score = answer_start_scores*answer_end_scores
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#st.write(f'Aqui {answer_start_scores}' )
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#st.write(answer_end_scores)
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+
st.write(outputs)
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cantidad_respuestas = cantidad_respuestas + 1
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df_answer.loc[i, "answer"] = answer
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lista_noticias_respuestas.append(df_answer.loc[i].to_frame().T)
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