Rename app.py to app_2.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 yaml
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from tools.final_answer import FinalAnswerTool
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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:
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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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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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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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GradioUI(agent).launch()
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app_2.py
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# app.py
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from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool
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from tools.final_answer import FinalAnswerTool
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import datetime
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import pytz
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import yaml
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import gradio as gr
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# ✅✅✅ ---- Natural language time 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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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., 'Europe/London').
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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("%A, %B %d, %Y %I:%M %p")
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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"Sorry, I couldn’t find the time for {timezone}: {str(e)}"
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# ✅✅✅ ---- Final Answer Tool ----
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final_answer = FinalAnswerTool()
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# ✅✅✅ ---- Hugging Face Model ----
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model = HfApiModel(
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max_tokens=2048,
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temperature=0.5,
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model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
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)
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# ✅✅✅ ---- Load optional 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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# ✅✅✅ ---- System prompt template ----
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# This will ensure the agent keeps full sentences!
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prompt_templates = {
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"system": """You are a helpful agent that thinks step by step.
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You must always return your final answer as a clear, complete sentence in natural language.
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If you call tools, use their output exactly and do not strip details.
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When you have the final information, pass it using the FinalAnswerTool.
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"""
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}
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# ✅✅✅ ---- Build the CodeAgent ----
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agent = CodeAgent(
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model=model,
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tools=[
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get_current_time_in_timezone,
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DuckDuckGoSearchTool(),
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image_generation_tool,
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final_answer
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],
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max_steps=6,
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verbosity_level=1,
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prompt_templates=prompt_templates
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)
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# ✅✅✅ ---- Gradio UI ----
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def agentic_chat(user_input):
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result = agent.run(user_input)
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if hasattr(result, 'final_answer'):
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return result.final_answer
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else:
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return str(result)
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iface = gr.Interface(
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fn=agentic_chat,
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inputs="text",
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outputs="text",
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title="Agentic AI Example",
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description="Ask me anything! I will reason step-by-step and provide clear final answers."
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)
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if __name__ == "__main__":
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iface.launch()
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