Upload app.py

app.py

@@ -92,7 +92,7 @@ def generate_response(query, history, model, temperature, max_tokens, top_p, see
     retriever = vector_store.as_retriever(search_type="similarity", search_kwargs={"k": 16})
     llm = ChatGroq(groq_api_key=os.environ.get("GROQ_API_KEY"), model=model)
     custom_rag_prompt = PromptTemplate.from_template(template)
-
+   
     rag_chain = (
         {"context": retriever | format_docs, "question": RunnablePassthrough()}
         | custom_rag_prompt