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from smolagents import CodeAgent, HfApiModel, load_tool, tool
import requests
from tools.final_answer import FinalAnswerTool
from Gradio_UI import GradioUI
@tool
def get_btc_price() -> str:
"""Fetches the current Bitcoin price in USD using the CoinGecko API."""
url = "https://api.coingecko.com/api/v3/simple/price?ids=bitcoin&vs_currencies=usd"
response = requests.get(url)
if response.status_code != 200:
return '{"error": "Failed to fetch Bitcoin price"}'
data = response.json()
price = data.get('bitcoin', {}).get('usd')
if price is None:
return '{"error": "Bitcoin price not found"}'
return f"The current Bitcoin price is ${price:.2f} USD."
@tool
def visit_webpage(url: str) -> str:
"""Visits a webpage at the given URL and returns its content as a markdown string.
Args:
url: The URL of the webpage to visit.
Returns:
The content of the webpage converted to Markdown, or an error message if the request fails.
"""
try:
# Send a GET request to the URL
response = requests.get(url)
response.raise_for_status() # Raise an exception for bad status codes
# Convert the HTML content to Markdown
markdown_content = markdownify(response.text).strip()
# Remove multiple line breaks
markdown_content = re.sub(r"\n{3,}", "\n\n", markdown_content)
return markdown_content
except RequestException as e:
return f"Error fetching the webpage: {str(e)}"
except Exception as e:
return f"An unexpected error occurred: {str(e)}"
# Initialize the FinalAnswerTool
final_answer = FinalAnswerTool()
# Initialize the model
model = HfApiModel(
max_tokens=1000,
temperature=0.5,
model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
custom_role_conversions=None,
)
# Load additional tools if needed
# For example, to load an image generation tool:
# image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
# Create the agent
agent = CodeAgent(
model=model,
tools=[get_btc_price, visit_webpage, final_answer], # Add your tools here
max_steps=6,
verbosity_level=1,
grammar=None,
planning_interval=None,
name=None,
description=None,
prompt_templates=None # Set to None if not using prompt templates
)
# Launch the Gradio interface
GradioUI(agent).launch()