Merge pull request #4 from sfc-gh-jcarroll/session-state-index

web_explorer.py

@@ -3,7 +3,8 @@
 from langchain.chains import RetrievalQAWithSourcesChain
 from langchain.retrievers.web_research import WebResearchRetriever
 
-@st.cache_resource
+st.set_page_config(page_title="Interweb Explorer", page_icon="🌐")
+
 def settings():
 
     # Vectorstore
@@ -26,10 +27,10 @@ def settings():
 
     # Initialize 
     web_retriever = WebResearchRetriever.from_llm(
-    vectorstore=vectorstore_public,
-    llm=llm, 
-    search=search, 
-    num_search_results=3
+        vectorstore=vectorstore_public,
+        llm=llm, 
+        search=search, 
+        num_search_results=3
     )
 
     return web_retriever, llm
@@ -62,10 +63,13 @@ def on_retriever_end(self, documents, **kwargs):
 st.sidebar.image("img/ai.png")
 st.header("`Interweb Explorer`")
 st.info("`I am an AI that can answer questions by exploring, reading, and summarizing web pages."
-    "I can be configured to use different moddes: public API or private (no data sharing).`")
+    "I can be configured to use different modes: public API or private (no data sharing).`")
 
 # Make retriever and llm
-web_retriever, llm = settings()
+if 'retriever' not in st.session_state:
+    st.session_state['retriever'], st.session_state['llm'] = settings()
+web_retriever = st.session_state.retriever
+llm = st.session_state.llm
 
 # User input 
 question = st.text_input("`Ask a question:`")
@@ -76,14 +80,12 @@ def on_retriever_end(self, documents, **kwargs):
     import logging
     logging.basicConfig()
     logging.getLogger("langchain.retrievers.web_research").setLevel(logging.INFO)    
-    qa_chain = RetrievalQAWithSourcesChain.from_chain_type(llm,
-                                                           retriever=web_retriever)
-
+    qa_chain = RetrievalQAWithSourcesChain.from_chain_type(llm, retriever=web_retriever)
+
     # Write answer and sources
     retrieval_streamer_cb = PrintRetrievalHandler(st.container())
     answer = st.empty()
     stream_handler = StreamHandler(answer, initial_text="`Answer:`\n\n")
     result = qa_chain({"question": question},callbacks=[retrieval_streamer_cb, stream_handler])
     answer.info('`Answer:`\n\n' + result['answer'])
     st.info('`Sources:`\n\n' + result['sources'])
-