Create app.py

app.py

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+import streamlit as st
+from rag_pipeline import RAGPipeline
+
+st.set_page_config(page_title="Medical QA Assistant", page_icon="🩺")
+st.title("🩺 Medical QA Assistant")
+st.markdown("Ask any medical question and get evidence-based answers from PubMed.")
+
+@st.cache_resource
+def load_rag():
+    return RAGPipeline("data/pubmed_qa_dataset.csv")
+
+rag = load_rag()
+
+question = st.text_input("Enter your medical question:")
+
+if st.button("Get Answer"):
+    if question:
+        with st.spinner("Searching PubMed and generating answer..."):
+            answer = rag.generate_answer(question)
+            st.success(answer)
+    else:
+        st.warning("Please enter a question.")