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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 ! | |
from smolagents import tool | |
import requests | |
from bs4 import BeautifulSoup | |
def tool_ricerca_panini(city: str) -> str: | |
"""Un tool che ricerca il miglior panino in una città italiana utilizzando una query su DuckDuckGo. | |
Args: | |
city: Una stringa rappresentante una città in Italia (es. 'Milano', 'Torino'). | |
Returns: | |
Una stringa che descrive il miglior panino trovato nella città specificata. | |
""" | |
try: | |
# Costruisci la query di ricerca | |
query = f"miglior panino {city} Italia" | |
url = "https://html.duckduckgo.com/html/" | |
params = {"q": query} | |
headers = {"User-Agent": "Mozilla/5.0"} | |
response = requests.post(url, data=params, headers=headers) | |
if response.status_code != 200: | |
return f"Errore nella ricerca: codice {response.status_code}" | |
# Analizza la risposta HTML con BeautifulSoup | |
soup = BeautifulSoup(response.text, "html.parser") | |
# Cerca i risultati della ricerca; i risultati sono generalmente link con classe "result__a" | |
results = [] | |
for result in soup.find_all("a", class_="result__a"): | |
title = result.get_text() | |
# Proviamo a trovare un elemento descrittivo vicino al link (se presente) | |
snippet_elem = result.find_next("a", class_="result__snippet") | |
snippet = snippet_elem.get_text() if snippet_elem else "Nessun dettaglio disponibile" | |
results.append({"title": title, "body": snippet}) | |
if results: | |
top_result = results[0] | |
return (f"Il miglior panino a {city.title()} sembra essere: {top_result['title']}. " | |
f"Dettagli: {top_result['body']}") | |
else: | |
return f"Nessun risultato trovato per {city.title()}." | |
except Exception as e: | |
return f"Errore durante la ricerca per {city.title()}: {str(e)}" | |
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, tool_ricerca_panini], ## 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() |