Delete answers.py

answers.py

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