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Update app.py
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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
search_tool = DuckDuckGoSearchTool()
# Initialize the DuckDuckGo search tool
search_tool = DuckDuckGoSearchTool()
# Initialize the DuckDuckGo search tool (only one instance is needed)
search_tool = DuckDuckGoSearchTool()
@tool
def get_top_places(city: str, category: str = "places", n: int = 5) -> list:
"""
Get the top N places for a given category in a specified city.
Args:
city (str): The name of the city to search for.
category (str): The category to search (e.g., "places", "food", "museum"). Default is "places".
n (int): The number of results to return. Default is 5, maximum 100.
Returns:
list: A list of strings, each containing the title and URL for a result.
Raises:
ValueError: If the category is not one of "places", "food", or "museum".
Example:
>>> get_top_places("Paris", "food", 5)
['Le Meurice - https://example.com', "L'Ambroisie - https://example.com"]
"""
valid_categories = ["places", "food", "museum"]
if category not in valid_categories:
raise ValueError(f"Invalid category. Choose from: {', '.join(valid_categories)}")
query = f"top {n} {category} in {city}"
results = search_tool.search(query, n)
return [f"{result['title']} - {result['url']}" for result in results]
@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='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,get_top_places,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()