agentlin commited on
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5a6701c
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1 Parent(s): 8c5c24b

Update app.py

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  1. app.py +23 -12
app.py CHANGED
@@ -9,14 +9,16 @@ from Gradio_UI import GradioUI
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  # Below is an example of a tool that does nothing. Amaze us with your creativity !
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  @tool
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- def my_custom_tool(arg1:str, arg2:int)-> str: #it's import to specify the return type
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  #Keep this format for the description / args / args description but feel free to modify the tool
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- """A tool that does nothing yet
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  Args:
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- arg1: the first argument
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- arg2: the second argument
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  """
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- return "What magic will you build ?"
 
 
 
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  @tool
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  def get_current_time_in_timezone(timezone: str) -> str:
@@ -39,11 +41,19 @@ final_answer = FinalAnswerTool()
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  # If the agent does not answer, the model is overloaded, please use another model or the following Hugging Face Endpoint that also contains qwen2.5 coder:
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  # model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud'
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- model = HfApiModel(
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- max_tokens=2096,
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- temperature=0.5,
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- model_id='Qwen/Qwen2.5-Coder-32B-Instruct',# it is possible that this model may be overloaded
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- custom_role_conversions=None,
 
 
 
 
 
 
 
 
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  )
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@@ -52,10 +62,11 @@ image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_co
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  with open("prompts.yaml", 'r') as stream:
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  prompt_templates = yaml.safe_load(stream)
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-
 
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  agent = CodeAgent(
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  model=model,
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- tools=[final_answer], ## add your tools here (don't remove final answer)
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  max_steps=6,
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  verbosity_level=1,
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  grammar=None,
 
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  # Below is an example of a tool that does nothing. Amaze us with your creativity !
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  @tool
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+ def my_custom_tool(arg1:int)-> float: #it's import to specify the return type
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  #Keep this format for the description / args / args description but feel free to modify the tool
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+ """A tool that returns the DOF given the user choice of the magnitude of delta defocus condition
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  Args:
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+ arg1: delta defocus value in <pwcond> of the optimziation stage
 
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  """
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+
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+ DOF = 1.5 * DF
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+ return DOF
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+ # return "What magic will you build ?"
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  @tool
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  def get_current_time_in_timezone(timezone: str) -> str:
 
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  # If the agent does not answer, the model is overloaded, please use another model or the following Hugging Face Endpoint that also contains qwen2.5 coder:
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  # model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud'
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+ #model = HfApiModel(
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+ #max_tokens=2096,
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+ #temperature=0.5,
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+ #model_id='Qwen/Qwen2.5-Coder-32B-Instruct',# it is possible that this model may be overloaded
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+ #custom_role_conversions=None,
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+ #)
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+
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+ # Define the LLM as the heart of the agent engine
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+ model = InferenceClientModel(
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+ max_tokens=2096,
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+ temperature=0.5,
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+ model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
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+ custom_role_conversions=None,
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  )
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  with open("prompts.yaml", 'r') as stream:
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  prompt_templates = yaml.safe_load(stream)
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+
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+ # We are creating our CodeAgent
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  agent = CodeAgent(
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  model=model,
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+ tools=[final_answer, my_custom_tool], ## add your tools here (don't remove final answer)
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  max_steps=6,
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  verbosity_level=1,
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  grammar=None,