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Update app.py
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app.py
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@@ -1,44 +1,56 @@
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import
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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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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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"""
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Args:
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arg1:
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arg2:
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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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"""
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Args:
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timezone: A
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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
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@tool
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def emoji_summarizer(text: str) -> str:
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"""
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Summarizes the input text
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Args:
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text: Input string
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"""
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mapping = {
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"happy": "😊",
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"error": "❌",
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"question": "❓",
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}
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words = text.lower().split()
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emojis = [mapping[word] for word in words if word in mapping]
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if not emojis:
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return "🤔 (no matching emojis found)"
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return "".join(emojis)
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final_answer = FinalAnswerTool()
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#
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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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#
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image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
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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=[
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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()
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from smolagents import CodeAgent, HfApiModel, load_tool, tool
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import datetime
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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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from Gradio_UI import GradioUI
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# A simple example tool that currently does nothing but shows how to define a tool.
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@tool
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def my_custom_tool(arg1: str, arg2: int) -> str:
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"""
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A placeholder tool that returns a fun message.
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Args:
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arg1: The first argument as a string.
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arg2: The second argument as an integer.
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Returns:
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A string message.
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"""
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return "What magic will you build with this tool?"
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@tool
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def get_current_time_in_timezone(timezone: str) -> str:
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"""
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Returns the current local time in the specified timezone.
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Args:
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timezone: A valid timezone string (e.g., 'America/New_York').
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Returns:
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A formatted string with the current local time or an error message.
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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: could not fetch time for timezone '{timezone}'. Details: {e}"
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@tool
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def emoji_summarizer(text: str) -> str:
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"""
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Summarizes the input text using emojis representing key ideas.
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Args:
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text: Input text string.
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Returns:
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A string of emojis or a default emoji if no matches are found.
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"""
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mapping = {
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"happy": "😊",
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"error": "❌",
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"question": "❓",
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}
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# Basic tokenization: lowercase and split on whitespace
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words = text.lower().split()
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emojis = [mapping[word] for word in words if word in mapping]
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if not emojis:
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return "🤔 (no matching emojis found)"
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return "".join(emojis)
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# Initialize the final answer tool
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final_answer = FinalAnswerTool()
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# Initialize the language model (make sure model_id is correct and accessible)
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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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# Load the text-to-image generation tool from the Hugging Face hub
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image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
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# Load prompt templates from YAML file (make sure 'prompts.yaml' is present and valid)
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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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# Initialize the code agent with all desired tools
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agent = CodeAgent(
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model=model,
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tools=[
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final_answer,
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emoji_summarizer,
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image_generation_tool,
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my_custom_tool,
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get_current_time_in_timezone,
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],
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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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# Launch the Gradio UI to interact with the agent
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GradioUI(agent).launch()
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