Update app.py

app.py

@@ -52,7 +52,7 @@ def rename(orig_author: str):
 
 @cl.on_chat_start
 async def init():
-    msg = cl.Message(content=f"Building Index...")
+    msg = cl.Message(content=f"Building vector store...")
     await msg.send()
 
     loader = CSVLoader(file_path="./data/total_faq.csv", source_column="Answer") 
@@ -78,9 +78,18 @@ async def init():
         chain_type_kwargs = {"prompt": prompt}
     )
 
-    msg.content = f"Index built! Bare spør ivei..🤓"
-    await msg.send()
+    markdown_table = f"""
+    | ### Eksempler på spørsmål:                 |
+    |--------------------------------------------|
+    | Hvordan registrerer jeg meg som bruker?    |
+    | Kan jeg ha med kjæledyr på hytta?          |
+    | Adferdsmessig annonsering?                 |
+    """
+
+    msg.content = f"Index built! Bare spør ivei..🤓\n\n{markdown_table}"
 
+    await msg.send()
+    
     cl.user_session.set("chain", chain)
 
 
@@ -91,15 +100,10 @@ async def main(message):
         stream_final_answer=True, 
         answer_prefix_tokens=["FINAL", "ANSWER"]
     )
-
-    cb = cl.AsyncLangchainCallbackHandler(
-        stream_final_answer=True,
-        answer_prefix_tokens=["FINAL", "ANSWER"]
-    )
     
     cb.answer_reached = True
     res = await chain.acall(message, callbacks=[cb])
-    return
+    #return
 
     answer = res["result"]
     source_elements = []
@@ -108,7 +112,6 @@ async def main(message):
     docs = res.get("source_documents", [])
     metadatas = [doc.metadata for doc in docs]
   
-
     for doc, metadata in zip(docs, metadatas):
         row_index = metadata.get("row_index", -1) 
         source = metadata.get("source", "")