Update README.md (#652)

Rework example so that if you use a custom LLM it doesn't throw code errors by uncommenting.

README.md

@@ -70,6 +70,17 @@ os.environ["SERPER_API_KEY"] = "Your Key" # serper.dev API key
 # os.environ["OPENAI_MODEL_NAME"] ='openhermes'  # Adjust based on available model
 # os.environ["OPENAI_API_KEY"] ='sk-111111111111111111111111111111111111111111111111'
 
+# You can pass an optional llm attribute specifying what model you wanna use.
+# It can be a local model through Ollama / LM Studio or a remote
+# model like OpenAI, Mistral, Antrophic or others (https://docs.crewai.com/how-to/LLM-Connections/)
+#
+# import os
+# os.environ['OPENAI_MODEL_NAME'] = 'gpt-3.5-turbo'
+#
+# OR
+#
+# from langchain_openai import ChatOpenAI
+
 search_tool = SerperDevTool()
 
 # Define your agents with roles and goals
@@ -81,18 +92,9 @@ researcher = Agent(
   You have a knack for dissecting complex data and presenting actionable insights.""",
   verbose=True,
   allow_delegation=False,
-  tools=[search_tool]
   # You can pass an optional llm attribute specifying what model you wanna use.
-  # It can be a local model through Ollama / LM Studio or a remote
-  # model like OpenAI, Mistral, Antrophic or others (https://docs.crewai.com/how-to/LLM-Connections/)
-  #
-  # import os
-  # os.environ['OPENAI_MODEL_NAME'] = 'gpt-3.5-turbo'
-  #
-  # OR
-  #
-  # from langchain_openai import ChatOpenAI
-  # llm=ChatOpenAI(model_name="gpt-3.5", temperature=0.7)
+  # llm=ChatOpenAI(model_name="gpt-3.5", temperature=0.7),
+  tools=[search_tool]
 )
 writer = Agent(
   role='Tech Content Strategist',