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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
# Below is an example of a tool that does nothing. Amaze us with your creativity !
import requests
from bs4 import BeautifulSoup
@tool
def fetch_top_restaurants(location: str) -> list:
"""A tool that fetches the top restaurants in a given location.
Args:
location (str): The location to search for restaurants.
Returns:
list: A list of dictionaries containing restaurant names and links.
"""
# Construct the query for DuckDuckGo
query = f"top 5 restaurants in {location}"
url = f"https://duckduckgo.com/html/?q={query}"
# Perform the search request
response = requests.get(url)
# Parse the response if successful
if response.status_code == 200:
soup = BeautifulSoup(response.text, 'html.parser')
results = []
for result in soup.find_all('a', class_='result__a', limit=5):
title = result.get_text()
link = result['href']
results.append({'name': title, 'link': link})
return results
else:
return f"Failed to retrieve search results for {location}"
# Example usage - Fetching restaurants for a specific location
location = "New York"
top_restaurants = fetch_top_restaurants(location)
for i, restaurant in enumerate(top_restaurants, start=1):
print(f"{i}. {restaurant['name']} - {restaurant['link']}")
@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], ## 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()