| from model import get_gemma | |
| from rag_utils import generate_context | |
| def generate_response(history=[], temperature: float=0.0, top_k=None, top_p=None): | |
| gemma_model = get_gemma(temperature=temperature, top_k=top_k, top_p=top_p) | |
| response = gemma_model.invoke(history).content | |
| return response | |
| def generate_RAG_response(query: str, file_path, history=[]): | |
| gemma_model = get_gemma() | |
| query, context = generate_context(query, file_path) | |
| history[-1] = {"role" : "user", "content" : f"INSTRUCTION: Answer the query with given context in mind.\nQUERY: {query}\n\nCONTEXT : {context}"} | |
| response = gemma_model.invoke(history).content | |
| return response |