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I think a fix may be needed for the DLL loading issue, as problems can arise in different Python versions on Windows OS. #230

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I think a fix may be needed for the DLL loading issue, as problems can arise in different Python versions on Windows OS. #230

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472f5cd
Fix script compatibility with Python >=3.8
Han-sok Aug 23, 2025
8f405bf
Added conditional DLL loading based on Python version.
Han-sok Aug 23, 2025
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9 changes: 9 additions & 0 deletions example/llm/RAG-OGA/custom_llm/custom_llm.py
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Original file line number Diff line number Diff line change
@@ -1,3 +1,12 @@
# Windows changed DLL path reference policy since Python 3.8
# Add the directory containing the DLLs to the DLL search path
import os

# check current python version
import sys
if sys.version_info >= (3, 8):
os.add_dll_directory(r"C:\Program Files\RyzenAI\1.5.1\deployment") # add path to your model dependent runtime DLLs

import warnings
import time
from typing import Any, Dict, List, Optional
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6 changes: 3 additions & 3 deletions example/llm/RAG-OGA/rag.py
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Expand Up @@ -26,7 +26,7 @@


if args.gradio:
gradio_launch_app(dataset_path=r"./Dataset", model_path= r"path/to/llm") #update this path
gradio_launch_app(dataset_path=r"./Dataset", model_path= r"C:\huggingface") #update this path
exit()

# --- Paths ---
Expand All @@ -36,7 +36,7 @@

# --- Embedding Model ---
print("Using ONNX embedding model on VitisAI NPU...")
embedding_model = custom_embeddings(model_path="bge-large-en-v1.5.onnx", tokenizer_name="BAAI/bge-large-en-v1.5")
embedding_model = custom_embeddings(model_path="./custom_embedding/bge-large-en-v1.5.onnx", tokenizer_name="BAAI/bge-large-en-v1.5")

# --- Load or Build FAISS Index ---
if os.path.exists(os.path.join(faiss_index_path, "index.faiss")) and os.path.exists(os.path.join(faiss_index_path, "index.pkl")):
Expand Down Expand Up @@ -70,7 +70,7 @@
retriever = vectorstore.as_retriever(search_type='similarity',search_kwargs={"k": 3})
print("Number of vectors:", vectorstore.index.ntotal)

llm = custom_llm(model_path=r"path/to/llm") #update this path
llm = custom_llm(model_path=r"C:\huggingface") #update this path
# llm = custom_llm(model_path=r"C:\Users\akumar23\RAG-repo-xilinx\model") # Example

template = PromptTemplate.from_template("""<|system|>
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