Create app.py

app.py

@@ -0,0 +1,30 @@
+import streamlit as st
+from transformers import pipeline
+
+# Load the question answering pipeline
+question_answerer = pipeline("question-answering", model='distilbert-base-cased-distilled-squad')
+
+# Streamlit app
+def main():
+    st.title("Question Answering Chat App")
+
+    # Text input for context
+    context = st.text_area("Enter the context:", """
+    Extractive Question Answering is the task of extracting an answer from a text given a question.
+    """)
+
+    # Text input for question
+    question = st.text_input("Enter your question:")
+
+    # Answer the question
+    if st.button("Get Answer"):
+        result = question_answerer(question=question, context=context)
+        st.subheader("Answer:")
+        st.write(result['answer'])
+        st.subheader("Details:")
+        st.write(f"Score: {round(result['score'], 4)}")
+        st.write(f"Start: {result['start']}")
+        st.write(f"End: {result['end']}")
+
+if __name__ == "__main__":
+    main()