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Update app.py
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app.py
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from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
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import datetime
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import requests
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import pytz
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import random
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from typing import Literal
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import math
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import random
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from typing import Literal
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@tool
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def get_approximate_integral(
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return f"Error fetching time for timezone '{timezone}': {str(e)}"
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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',
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custom_role_conversions=None,
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)
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GradioUI(agent).launch()
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# Import tool from Hub
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image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
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final_answer,
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get_approximate_integral,
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get_current_time_in_timezone,
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image_generation_tool, # the hub‑loaded tool
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DuckDuckGoSearchTool(), # plain class → instantiate
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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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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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from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool
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import datetime
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import requests
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import pytz
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import random
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from typing import Literal
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@tool
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def get_approximate_integral(
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return f"Error fetching time for timezone '{timezone}': {str(e)}"
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tool_list = [
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final_answer,
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get_approximate_integral,
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get_current_time_in_timezone,
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image_generation_tool, # the hub‑loaded tool
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DuckDuckGoSearchTool(), # plain class → instantiate
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]
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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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final_answer = FinalAnswerTool()
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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',
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custom_role_conversions=None,
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)
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# Import tool from Hub
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image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
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# Load system prompt from prompt.yaml file
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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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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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