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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 Gradio_UI import GradioUI
# Below is an example of a tool that does nothing. Amaze us with your creativity !
@tool
def get_recent_earthquakes(min_magnitude: float = 5.0) -> str:
"""
Retrieves earthquake data from the USGS API for the past 24 hours, filtered by minimum magnitude, and returns the GeoJSON data as a string.
Args:
min_magnitude: The minimum magnitude of earthquakes to retrieve (default: 5.0).
Returns:
A string containing the GeoJSON earthquake data, or an error message.
"""
import json
now_utc = datetime.datetime.utcnow()
end_time = now_utc.isoformat()
start_time = (now_utc - datetime.timedelta(days=1)).isoformat()
url = f"https://earthquake.usgs.gov/fdsnws/event/1/query?format=geojson&minmagnitude={min_magnitude}&starttime={start_time}&endtime={end_time}"
try:
response = requests.get(url)
response.raise_for_status() # Raise HTTPError for bad responses (4xx or 5xx)
data = response.json()
return json.dumps(data) # Return GeoJSON as a string
except requests.exceptions.RequestException as e:
return f"Error fetching earthquake data: {e}"
except json.JSONDecodeError as e:
return f"Error decoding JSON response: {e}. Response text: {response.text}"
except Exception as e:
return f"An unexpected error occured: {e}"
@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)}"
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='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud',# it is possible that this model may be overloaded | 'Qwen/Qwen2.5-Coder-32B-Instruct'
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,get_recent_earthquakes,get_current_time_in_timezone], ## 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() |