fix: use base service context

packages/create-llama/templates/components/vectordbs/python/none/context.py

-import os
-
 from llama_index import ServiceContext
-from llama_index.llms import OpenAI
-from app.engine.constants import CHUNK_SIZE, CHUNK_OVERLAP
-
 
-def create_base_context():
-    model = os.getenv("MODEL", "gpt-3.5-turbo")
-    return ServiceContext.from_defaults(
-        llm=OpenAI(model=model),
-    )
+from app.context import create_base_context
+from app.engine.constants import CHUNK_SIZE, CHUNK_OVERLAP
 
 
 def create_service_context():

packages/create-llama/templates/types/simple/fastapi/app/context.py

+import os
+
+from llama_index import ServiceContext
+from llama_index.llms import OpenAI
+
+
+def create_base_context():
+    model = os.getenv("MODEL", "gpt-3.5-turbo")
+    return ServiceContext.from_defaults(
+        llm=OpenAI(model=model),
+    )

packages/create-llama/templates/types/simple/fastapi/app/engine/index.py

-import os
-
-from llama_index import ServiceContext
 from llama_index.chat_engine import SimpleChatEngine
-from llama_index.llms import OpenAI
-
 
-def create_base_context():
-    model = os.getenv("MODEL", "gpt-3.5-turbo")
-    return ServiceContext.from_defaults(
-        llm=OpenAI(model=model),
-    )
+from app.context import create_base_context
 
 
 def get_chat_engine():

packages/create-llama/templates/types/simple/fastapi/main.py

 from dotenv import load_dotenv
+
 load_dotenv()
 
 import logging

packages/create-llama/templates/types/streaming/fastapi/app/context.py

+import os
+
+from llama_index import ServiceContext
+from llama_index.llms import OpenAI
+
+
+def create_base_context():
+    model = os.getenv("MODEL", "gpt-3.5-turbo")
+    return ServiceContext.from_defaults(
+        llm=OpenAI(model=model),
+    )

packages/create-llama/templates/types/streaming/fastapi/app/engine/index.py

-import os
-
-from llama_index import ServiceContext
 from llama_index.chat_engine import SimpleChatEngine
-from llama_index.llms import OpenAI
-
 
-def create_base_context():
-    model = os.getenv("MODEL", "gpt-3.5-turbo")
-    return ServiceContext.from_defaults(
-        llm=OpenAI(model=model),
-    )
+from app.context import create_base_context
 
 
 def get_chat_engine():