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from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
import datetime
import requests
import pytz
import yaml
from tools.final_answer import FinalAnswerTool
from typing import List, Dict
from smolagents import DuckDuckGoSearchTool, tool
from Gradio_UI import GradioUI
# Below is an example of a tool that does nothing. Amaze us with your creativity !
@tool
def my_custom_tool(arg1:str, arg2:int)-> str: #it's import to specify the return type
#Keep this format for the description / args / args description but feel free to modify the tool
"""A tool that does nothing yet
Args:
arg1: the first argument
arg2: the second argument
"""
return "What magic will you build ?"
@tool
def get_current_time_in_timezone(timezone: str) -> str:
"""A tool that fetches the current local time in a specified timezone.
Args:
timezone: A string representing a valid timezone (e.g., 'America/New_York').
"""
try:
# Create timezone object
tz = pytz.timezone(timezone)
# Get current time in that timezone
local_time = datetime.datetime.now(tz).strftime("%Y-%m-%d %H:%M:%S")
return f"The current local time in {timezone} is: {local_time}"
except Exception as e:
return f"Error fetching time for timezone '{timezone}': {str(e)}"
@tool
def search_cafes_in_germany(query: str, city: str = None, limit: int = 10) -> List[Dict]:
"""
A refined tool that searches for cafes or restaurants in Germany using DuckDuckGo.
Args:
query: Search keywords (e.g., 'vegan cafe', 'Indian restaurant').
city: Optional German city to narrow results (e.g., 'Berlin', 'Cologne').
limit: Maximum number of results to return (default 10).
Returns:
A list of dictionaries containing structured information about each place, e.g.,
[
{
"name": "Cafe ABC",
"address": "Some street, Berlin",
"website": "https://cafeabc.de",
"phone": "+49 123 456789",
"rating": 4.5,
"lat": 52.5200,
"lon": 13.4050
},
...
]
"""
# Build the final query string
final_query = f"{query} in {city}" if city else query
try:
# Use the built-in DuckDuckGoSearchTool from smolagents
results = DuckDuckGoSearchTool(query=final_query, limit=limit)
# Optional: normalize fields for consistency
normalized = []
for r in results:
normalized.append({
"name": r.get("name"),
"address": r.get("address"),
"website": r.get("website"),
"phone": r.get("phone"),
"rating": r.get("rating"),
"lat": r.get("lat"),
"lon": r.get("lon"),
})
return normalized
except Exception as e:
return [{"error": f"Search failed: {str(e)}"}]
final_answer = FinalAnswerTool()
# 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:
# model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud'
model = HfApiModel(
max_tokens=2096,
temperature=0.5,
model_id='Qwen/Qwen2.5-Coder-32B-Instruct',# it is possible that this model may be overloaded
custom_role_conversions=None,
)
# Import tool from Hub
image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
with open("prompts.yaml", 'r') as stream:
prompt_templates = yaml.safe_load(stream)
agent = CodeAgent(
model=model,
tools=[final_answer, image_generation_tool, search_cafes_in_germany], ## add your tools here (don't remove final answer)
max_steps=6,
verbosity_level=1,
grammar=None,
planning_interval=None,
name=None,
description=None,
prompt_templates=prompt_templates
)
GradioUI(agent).launch() |