Rename rag_with_mircosoftphi2_and_hf_embeddings.py to app.py

rag_with_mircosoftphi2_and_hf_embeddings.py → app.py

@@ -1,7 +1,7 @@
 from llama_index.core import VectorStoreIndex,SimpleDirectoryReader,ServiceContext
 import torch
 
-documents = SimpleDirectoryReader("SansarChat").load_data()
+documents = SimpleDirectoryReader("/SansarChat").load_data()
 
 """New sectiond"""
 
@@ -18,7 +18,7 @@ model_url = "https://huggingface.co/TheBloke/Llama-2-13B-chat-GGUF/resolve/main/
 
 llm = LlamaCPP(
     # optionally, you can set the path to a pre-downloaded model instead of model_url
-    model_path="model.gguf",
+    model_path="LLM.gguf",
     temperature=0.1,
     max_new_tokens=256,
     # llama2 has a context window of 4096 tokens, but we set it lower to allow for some wiggle room