..

app.py

@@ -83,7 +83,7 @@ def reorder_embedding(docs):
 def create_conversational_chain(vector_store):
     """Create a Conversational Retrieval Chain for RAG."""
     llm = Replicate(
-        model="fauziisyrinapridal/sahabat-ai-v1:afb9fa89fe786362f619fd4fef34bd1f7a4a4da23073d8a6fbf54dcbe458f216",
+        model="fauzi3007/sahabat-ai-replicate:c3fc398f441379bd3fb6a4498950f9302aa75b7a95e76978a689ceb5c4b4bf09",
         model_kwargs={"temperature": 0.1, "top_p": 0.9, "max_new_tokens": 10000}
     )
     memory = ConversationBufferMemory(memory_key="chat_history", return_messages=True, output_key="answer")