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Update app.py
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app.py
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@@ -8,58 +8,58 @@ from tools.final_answer import FinalAnswerTool
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from Gradio_UI import GradioUI
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import os
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from huggingface_hub import InferenceClient
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HF_API_KEY = os.getenv("HF_API_KEY")
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if not HF_API_KEY:
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client = InferenceClient(token=HF_API_KEY)
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response = client.text_generation("Hello!", model="Qwen/Qwen2.5-Coder-32B-Instruct")
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print("HF_API_KEY", HF_API_KEY)
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print(response)
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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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@tool
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def get_current_time_in_timezone(timezone: str) -> str:
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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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#model_id='moonshotai/Moonlight-16B-A3B-Instruct',
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model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud',
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custom_role_conversions=None,
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)
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@@ -69,17 +69,19 @@ 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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agent = CodeAgent(
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)
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from Gradio_UI import GradioUI
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# import os
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# from huggingface_hub import InferenceClient
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# HF_API_KEY = os.getenv("HF_API_KEY")
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# if not HF_API_KEY:
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# raise ValueError("HF_API_KEY is not set. Please add it as a secret in your Hugging Face Space settings.")
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# client = InferenceClient(token=HF_API_KEY)
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# response = client.text_generation("Hello!", model="Qwen/Qwen2.5-Coder-32B-Instruct")
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# print("HF_API_KEY", HF_API_KEY)
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# print(response)
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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:
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# """A tool that fetches the current local time in a specified timezone.
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# Args:
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# timezone: A string representing a valid timezone (e.g., 'America/New_York').
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# """
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# try:
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# # Create timezone object
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# tz = pytz.timezone(timezone)
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# # Get current time in that timezone
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# local_time = datetime.datetime.now(tz).strftime("%Y-%m-%d %H:%M:%S")
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# return f"The current local time in {timezone} is: {local_time}"
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# except Exception as e:
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# return f"Error fetching time for timezone '{timezone}': {str(e)}"
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# 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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#model_id='moonshotai/Moonlight-16B-A3B-Instruct',
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model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud',
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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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# 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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# planning_interval=None,
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# name=None,
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# description=None,
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# prompt_templates=prompt_templates
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# )
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agent2 = CodeAgent(tools=[DuckDuckGoSearchTool()], model=model)
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GradioUI(agent2).launch()
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