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2190b1e
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  1. answers.py +35 -0
  2. requirements.txt +3 -0
answers.py ADDED
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+ import streamlit as st
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+ from transformers import AutoModelForQuestionAnswering, AutoTokenizer, pipeline
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+
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+ model_name = "deepset/roberta-base-squad2"
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+ model = AutoModelForQuestionAnswering.from_pretrained(model_name)
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+ tokenizer = AutoTokenizer.from_pretrained(model_name)
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+
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+ def get_answer(context, question):
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+ nlp = pipeline('question-answering', model=model, tokenizer=tokenizer)
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+ QA_input = {'question': question, 'context': context}
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+ res = nlp(QA_input)
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+ answer = res['answer']
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+ return answer
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+
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+ def main():
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+ st.title("Question Answering App")
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+ st.markdown("Enter the context and question, then click on 'Get Answer' to retrieve the answer.")
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+
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+
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+ context = st.text_area("Context", "Enter the context here...")
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+ question = st.text_input("Question", "Enter the question here...")
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+
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+
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+ if st.button("Get Answer"):
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+
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+ if context.strip() == "" or question.strip() == "":
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+ st.warning("Please enter the context and question.")
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+ else:
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+
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+ answer = get_answer(context, question)
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+ st.success(f"Answer: {answer}")
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+
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+
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+ if __name__ == "__main__":
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+ main()
requirements.txt ADDED
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+ streamlit==1.21.0
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+ transformers==4.11.2
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+ torch==2.0.1