Create app.py

app.py

@@ -0,0 +1,24 @@
+import streamlit as st
+from transformers import pipeline
+
+# Load the pre-trained model and tokenizer
+qa_pipeline = pipeline("question-answering", model="distilbert-base-uncased-distilled-squad")
+
+def answer_question(context: str, question: str) -> str:
+    result = qa_pipeline(question=question, context=context)
+    return result['answer']
+
+# Streamlit app
+st.title("Question-Answering Bot")
+st.write("Enter the context text and ask a question about it.")
+
+context = st.text_area("Context", height=300)
+question = st.text_input("Question")
+
+if st.button("Get Answer"):
+    if context and question:
+        answer = answer_question(context, question)
+        st.write(f"**Question:** {question}")
+        st.write(f"**Answer:** {answer}")
+    else:
+        st.write("Please enter both the context and the question.")