Spaces:
Sleeping
Sleeping
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 | |
def get_nbp_exchange_rate(currency: str) -> float: | |
"""A tool that fetches the exchange rate of a given currency from the National Bank of Poland (NBP). | |
Args: | |
currency: The currency code (e.g., "USD", "EUR") to fetch the exchange rate for. | |
Returns: | |
The exchange rate of the specified currency in PLN. | |
""" | |
import requests | |
url = f"https://api.nbp.pl/api/exchangerates/rates/A/{currency}/?format=json" | |
response = requests.get(url) | |
if response.status_code == 200: | |
data = response.json() | |
return data["rates"][0]["mid"] | |
else: | |
raise ValueError(f"Failed to fetch exchange rate for {currency}. HTTP Status: {response.status_code}") | |
def get_billboard_hot_100_last_countdown() -> list: | |
"""A tool that fetches the latest Billboard Hot 100 countdown with song names and artist names. | |
Returns: | |
A list of dictionaries containing the top 10 songs with their respective artists from the latest Billboard Hot 100. | |
""" | |
import requests | |
from bs4 import BeautifulSoup | |
url = "https://www.billboard.com/charts/hot-100/" | |
try: | |
response = requests.get(url) | |
response.raise_for_status() # Raise an error for failed request | |
except requests.exceptions.RequestException as e: | |
raise ValueError(f"Error connecting to Billboard Hot 100: {e}") | |
soup = BeautifulSoup(response.text, 'html.parser') | |
top_songs = [] | |
chart_items = soup.select("li.o-chart-results-list__item h3") | |
artist_items = soup.select("li.o-chart-results-list__item span.c-label") | |
for i in range(min(10, len(chart_items))): | |
song_name = chart_items[i].get_text(strip=True) | |
artist_name = artist_items[i * 2].get_text(strip=True) if i * 2 < len(artist_items) else "Unknown Artist" | |
top_songs.append({"song": song_name, "artist": artist_name}) | |
return top_songs | |
def get_cat_picture_with_name(): | |
"""A tool that searches the internet for a picture of a cat, downloads the first result, and displays it with a randomly generated name. | |
""" | |
import requests | |
import random | |
from PIL import Image | |
from io import BytesIO | |
url = "https://api.thecatapi.com/v1/images/search" | |
try: | |
response = requests.get(url) | |
response.raise_for_status() | |
data = response.json() | |
if data: | |
cat_image_url = data[0]["url"] | |
cat_name = random.choice(["Whiskers", "Mittens", "Shadow", "Luna", "Simba", "Oliver", "Bella", "Charlie", "Leo", "Max"]) | |
image_response = requests.get(cat_image_url) | |
image_response.raise_for_status() | |
img = Image.open(BytesIO(image_response.content)) | |
img.show(title=f"This cat's name is {cat_name}") | |
else: | |
print("No cat image found.") | |
except requests.exceptions.RequestException as e: | |
raise ValueError(f"Error fetching cat image: {e}") | |
# Below is an example of a tool that does nothing. Amaze us with your creativity ! | |
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 ?" | |
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', | |
#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=[get_nbp_exchange_rate, get_billboard_hot_100_last_countdown, get_current_time_in_timezone, image_generation_tool, 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() |