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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 yaml |
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from tools.final_answer import FinalAnswerTool |
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import random |
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from Gradio_UI import GradioUI |
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@tool |
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def my_custom_tool(arg1:str, arg2:int)-> str: |
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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 generate_cat_name(personality:str)-> str: |
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""" |
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A tool that generates a cat name based on personality trait. |
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Args: |
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personality: A personality and or a trait description |
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""" |
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personality = personality.lower().strip() |
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cat_name_options = { |
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"playful": ["Whiskers", "Jinx"], |
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"lazy": ["Napper", "Dozer", "Snoozy", "Pillow", "Flop"], |
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"mysterious": ["Shadow", "Midnight"], |
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"elegant": ["Duchess", "Baron"], |
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"shy": ["Whisper", "Hush"], |
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"adventurous": ["Scout", "Rover"], |
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"grumpy": ["Grucho", "Cranky"], |
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} |
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default_names = ["Leo", "Luna", "Simba"] |
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matching_category = None |
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for category in cat_name_options: |
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if category in personality or personality in category: |
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matching_category = category |
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break |
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if matching_category: |
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name = random.choice(cat_name_options[matching_category]) |
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return f"Based on the '{matching_category}' personality, I recommend the cat name {name}" |
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else: |
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name = random.choice(default_names) |
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return f"Here's a classic name for your cat: {name}" |
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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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tz = pytz.timezone(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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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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image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True) |
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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=[generate_cat_name, 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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GradioUI(agent).launch() |