Upload Venkat.py

Venkat.py

@@ -197,7 +197,7 @@ def rag(domain: str, question: str):
     print(db_exists)
     # if db_exists:
     embeddings = _load_embeddings_from_db(db_exists, domain)
-    extractor = Extractor(similarity=embeddings, path="google/flan-t5-large")
+    extractor = Extractor(similarity=embeddings, path="google/flan-t5-base")
     # llm = HuggingFaceHub(
     #     repo_id="google/flan-t5-xxl",
     #     model_kwargs={"temperature": 1, "max_length": 1000000},