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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 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)}"
from bs4 import BeautifulSoup
import requests
class TiktokTrendTool:
def __init__(self):
self.name = "TiktokTrendTool"
self.description = "Tool to scrape TikTok trends from public web pages."
self.arguments = ["region", "language"]
self.outputs = "list of trending hashtags or videos"
def fetch_tiktok_trends(self, region="world", language="en"):
# URL de recherche publique des tendances TikTok (à adapter si besoin)
url = f"https://www.tiktok.com/tag/trending?lang={language}&region={region}"
# Effectuer la requête HTTP
response = requests.get(url, headers={"User-Agent": "Mozilla/5.0"})
if response.status_code != 200:
raise Exception(f"Failed to fetch trends: {response.status_code}")
# Analyser le HTML de la page
soup = BeautifulSoup(response.text, 'html.parser')
# Extraire les hashtags populaires ou titres de vidéos
trends = []
for tag in soup.find_all('a', {'class': 'tiktok-trend-link'}):
trends.append(tag.text.strip())
# Si aucune tendance trouvée, retourne un message
if not trends:
trends.append("No trends found. The page structure might have changed.")
return trends
def __call__(self, region="world", language="en"):
return self.fetch_tiktok_trends(region, language)
def to_string(self):
return f"{self.name}: {self.description}\nArguments: {self.arguments}\nOutputs: {self.outputs}"
# Exemple d'utilisation
tool = TiktokTrendTool()
trends = tool(region="us", language="en")
print("TikTok Trends:", trends)
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()