chore: clean up application with commented optionals

app.py

@@ -35,6 +35,7 @@ from langchain.chains import LLMChain
 from langchain_community.utilities.dalle_image_generator import DallEAPIWrapper
 from langchain_core.prompts import PromptTemplate
 from langchain_openai import OpenAI
+from transformers import AutoTokenizer
 
 from io import BytesIO
 from time import sleep
@@ -207,7 +208,7 @@ text_to_speech_pipe.model.enable_cpu_offload()
 text_to_speech_pipe.model.use_flash_attention_2=True
 text_to_speech_pipe.model.pad_token_id=0  # 50257
 
-from transformers import AutoTokenizer
+
 
 tokenizer = AutoTokenizer.from_pretrained("suno/bark-small")
 #print("suno/bark-small tokenizer pad_token_id: ", tokenizer.pad_token_id)  # 0
@@ -296,16 +297,16 @@ image_generation_tool_fast = Tool.from_space(
 )
 
 
-# ceo_model = load_model("LiteLLMModel", "gpt-4o")   # or anthropic/claude-3-sonnet
-
+ceo_model = load_model("LiteLLMModel", "gpt-4o")   # or anthropic/claude-3-sonnet
 
+"""
 ceo_model = HfApiModel(
 max_tokens=2096,  # 8096 for manager
 temperature=0.5,
 model_id=  'https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud',  # "meta-llama/Llama-3.3-70B-Instruct",  # 'https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud',  # same as Qwen/Qwen2.5-Coder-32B-Instruct
 custom_role_conversions=None,
 )
-
+"""
 with open("prompts.yaml", 'r') as stream:
     prompt_templates = yaml.safe_load(stream)
 
@@ -362,5 +363,4 @@ agent.visualize()
 # prompt = ("navigate to a random wikipedia page and give me a summary of the content, then make a single image representing all the content")
 # agent.run(prompt)
 
-GradioUI(agent).launch()
-#GradioUIImage(agent).launch()
+GradioUI(agent).launch()