Update app.py

app.py

@@ -28,7 +28,7 @@ def initialize_resources():
     )
     return llm_gemini
 
-
+@st.cache_data
 def get_retriever(pdf_file):
     with NamedTemporaryFile(suffix="pdf") as temp:
         temp.write(pdf_file.getvalue())
@@ -47,9 +47,9 @@ def get_retriever(pdf_file):
     )
     documents = text_splitter.split_documents(pages)
     vectorstore = faiss.FAISS.from_documents(documents, underlying_embeddings)
-    doc_retiever = vectorstore.as_retriever(
-        search_type="mmr", search_kwargs={"k": 5, "fetch_k": 10}
-    )
+    doc_retiever = vectorstore.as_retriever()
+       # search_type="mmr", search_kwargs={"k": 5, "fetch_k": 10}
+    #)
 
     return doc_retiever
 
@@ -91,12 +91,12 @@ course_material = st.file_uploader("or Upload your own pdf", type="pdf")
 if st.session_state != "":
     try:
         if st.button("load"):
-            with st.soinner("loading document.."):
+            with st.spinner("loading document.."):
                 doc_retriever = get_retriever(course_material)
                 
             st.success("File loading successful, vector db initialize")
-    except:
-        st.error("Upload your file")
+    except Exception as e:
+        st.error(e)
 
     # We store the conversation in the session state.
     # This will be use to render the chat conversation.