how to pass dynamic path

[Asma-droid]

hello very one!

i woul like to add dynamic data path to my below code. Any help please

app = FastAPI()

#Step 06:Downlaod the Embeddings
embeddings = HuggingFaceEmbeddings(model_name="sentence-transformers/all-MiniLM-L6-v2")

#Import Model
llm = LlamaCpp(
streaming = True,
model_path="/srv/nas_data/atrabelsi/Whisper-Analysis-Final/Meeting_summarization/summary/mixtral-8x7b-instruct-v0.1.Q4_K_M.gguf",
temperature=0.01,
top_p=1,
verbose=True,
n_ctx=4096
)

faiss_index = FAISS.load_local("/srv/nas_data/atrabelsi/Whisper-Analysis-Final/RAG/LangServeDemo/langserve_index_5", embeddings)
retriever = faiss_index.as_retriever(search_kwargs={"k": 3})

prompt_template = """
Use the provided context to answer the user's question. If you don't know the answer, say you don't know.

Context:
{context}

Question:
{question}"""

rag_prompt = ChatPromptTemplate.from_template(prompt_template)

with open('/srv/nas_data/atrabelsi/Whisper-Analysis-Final/RAG/LangServeDemo/langserve_index_5/data.pkl', 'rb') as file:
# Call load method to deserialze
data = pickle.load(file)

def format_docs(data):
return "\n\n".join(doc.page_content for doc in data)

rag_chain_from_docs = (
RunnablePassthrough.assign(context=(lambda x: format_docs(x["context"])))
| rag_prompt
| llm
| StrOutputParser()
)

rag_chain_with_source = RunnableParallel(
{"context": retriever, "question": RunnablePassthrough()}
).assign(answer=rag_chain_from_docs)

@app.get("/")
async def redirect_root_to_docs():
return RedirectResponse("/docs")

if name == "main":
import uvicorn

uvicorn.run(app, host="0.0.0.0", port=8010)