Update app.py

app.py

@@ -30,7 +30,8 @@ os.makedirs(LOCAL_FOLDER, exist_ok=True)
 os.makedirs(VS_BASE, exist_ok=True)
 
 # --- CONFIGURAÇÕES DE MODELOS ---
-LLM_MODEL = 'google/gemma-3-4b-it'
+# LLM_MODEL = 'google/gemma-3-4b-it'
+LLM_MODEL = 'google/gemma-3-12b-it'
 EMBEDDING_MODEL = "sentence-transformers/all-MiniLM-L6-v2"
 
 # ------------ criando vs -----------------
@@ -109,10 +110,10 @@ except Exception as e:
 # --- 4. Retriever a partir da vector store (usando similarity como exemplo) ---
 retriever = faiss_store.as_retriever(search_type="similarity", search_kwargs={"k": 10})
 
-retriever = faiss_store.as_retriever(
-    search_type="mmr",
-    search_kwargs={"k": 5, "fetch_k": 20, "lambda_mult": 0.7}
-)
+# retriever = faiss_store.as_retriever(
+#     search_type="mmr",
+#     search_kwargs={"k": 5, "fetch_k": 20, "lambda_mult": 0.7}
+# )
 
 # --- 5. PromptTemplate personalizado ---
 custom_prompt_template = """