updated formatting

app.py

@@ -29,7 +29,7 @@ async def main(message: cl.Message):
         response = _semantic_rag_chain.invoke({"question": message.content})
         content += response["response"].content
     except Exception as e:
-        print(f"chat error: {e}: {vars(_semantic_rag_chain)}")
+        _logger.error(f"chat error: {e}: {vars(_semantic_rag_chain)}")
 
     # Send a response back to the user
     await cl.Message(
@@ -39,20 +39,17 @@ async def main(message: cl.Message):
 @cl.on_chat_start
 async def start():
 
-    print("==> starting ...")
     global _semantic_rag_chain
     _semantic_rag_chain = SemanticRAGChainFactory.get_semantic_rag_chain()
 
-    # await cl.Avatar(
-    #     name="Chatbot",
-    #     url="https://cdn-icons-png.flaticon.com/512/8649/8649595.png"
-    # ).send()
-    # await cl.Avatar(
-    #     name="User",
-    #     url="https://media.architecturaldigest.com/photos/5f241de2c850b2a36b415024/master/w_1600%2Cc_limit/Luke-logo.png"
-    # ).send()
-
-    print("\tsending message back: ready!!!")
+    await cl.Avatar(
+        name="Chatbot",
+        url="https://cdn-icons-png.flaticon.com/512/8649/8649595.png"
+    ).send()
+    await cl.Avatar(
+        name="User",
+        url="https://media.architecturaldigest.com/photos/5f241de2c850b2a36b415024/master/w_1600%2Cc_limit/Luke-logo.png"
+    ).send()
 
     content = ""
     if _semantic_rag_chain is not None:
@@ -73,4 +70,4 @@ async def start():
     await cl.Message(
         content=content + "\nHow can I help you with Meta's 2023 10K?"
     ).send()
-    print(f"{20 * '*'}")
+    _logger.info(f"{20 * '*'}")

semantic.py

@@ -138,7 +138,7 @@ class SemanticStoreFactory:
                 cls._semantic_vectorstore = cls.__create_semantic_store()
                 _logger.info(f"received semantic_vectorstore")
             else:
-                print(f"Loading semantic vectorstore {META_SEMANTIC_COLLECTION} from: {VECTOR_STORE_PATH}")
+                _logger.info(f"Loading semantic vectorstore {META_SEMANTIC_COLLECTION} from: {VECTOR_STORE_PATH}")
                 try:
                     # first try to load the store
                     cls._semantic_vectorstore = cls.__load_semantic_store()