Update app.py

app.py

@@ -45,22 +45,25 @@ def get_vectorstore(text_chunks):
     embeddings = HuggingFaceEmbeddings(model_name="hkunlp/instructor-xl")
     vectorstore = FAISS.from_texts(texts=text_chunks, embedding=embeddings)
     return vectorstore
+
 def get_conversation_chain(vectorstore):
-    # Pass the parameters explicitly instead of in model_kwargs
+    # Use HuggingFaceEndpoint with explicitly passed parameters
     llm = HuggingFaceEndpoint(
-        repo_id="google/flan-t5-base", 
-        temperature=0.5, 
-        max_new_tokens=248
+        repo_id="google/flan-t5-base",
+        temperature=0.5,
+        max_new_tokens=248,  # Explicit parameter
     )
 
+    # Initialize memory
     memory = ConversationBufferMemory(
-        memory_key='chat_history', return_messages=True
+        memory_key="chat_history", return_messages=True
     )
     
+    # Create Conversational Retrieval Chain
     conversation_chain = ConversationalRetrievalChain.from_llm(
         llm=llm,
         retriever=vectorstore.as_retriever(),
-        memory=memory
+        memory=memory,
     )
     return conversation_chain