Update bookie.py

bookie.py

@@ -13,7 +13,7 @@ import time
 load_dotenv("bookie.env")
 api_key=os.getenv("OPENAI_API_KEY")
 api_base=os.getenv("OPENAI_API_BASE")
-llm=ChatOpenAI(model_name="google/gemma-3n-e2b-it:free",temperature=0.2)
+llm=ChatOpenAI(model_name="qwen/qwen3-coder:free",temperature=0.2)
 em=joblib.load("bai.joblib")
 mp=st.empty()
 st.title("Welcome to Bookie 😊😊")
@@ -32,11 +32,11 @@ if upl and uploaded_file:
   mp.text("loading doc")
   loader = PyPDFLoader(tmp_path)
   docs = loader.load()
-  st.write(len(docs))
+  st.write(len(docs))  
   mp.text("loading split")
   tct=RecursiveCharacterTextSplitter.from_tiktoken_encoder(encoding_name="cl100k_base",chunk_size=512, chunk_overlap=16)
   doc=tct.split_documents(docs)
-  st.write(len(doc))
+  st.write(len(doc))  
   mp.text("loading vector db")
   vb= Chroma.from_documents(doc,em)
   r1=vb.as_retriever(search_type="similarity",search_kwargs={"k":4})
@@ -56,12 +56,6 @@ if qb:
       result=st.session_state.chain({"question":q},return_only_outputs=True)
       st.header("Answer")
       st.subheader(result["answer"])
-      sb=st.button("show sources")
-      if sb:
-          sources = result.get("sources", "")
-          st.subheader("Sources")
-          for line in sources.split("\n"):
-              st.write(line)