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import os
import re
import requests
from smolagents import CodeAgent, ToolCallingAgent, WebSearchTool, tool
from smolagents.models.huggingface import HuggingFaceModel
from dotenv import load_dotenv
from markdownify import markdownify
from requests.exceptions import RequestException
def initialize_agent():
# Load environment variables from .env file
load_dotenv()
# 1. Load the model
# Make sure to set HF_TOKEN in your Hugging Face Space secrets
model_name = "HuggingFaceH4/zephyr-7b-beta"
try:
model = HuggingFaceModel(model=model_name, token=os.environ.get("HF_TOKEN"))
except Exception as e:
print(f"Error loading model: {e}")
model = None
# 2. Define the tools
@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)}"
# 3. Define the agents
if model:
web_agent = ToolCallingAgent(
tools=[WebSearchTool(), visit_webpage],
model=model,
max_steps=10,
name="web_search_agent",
description="Runs web searches for you.",
)
manager_agent = CodeAgent(
tools=[],
model=model,
managed_agents=[web_agent],
additional_authorized_imports=["time", "numpy", "pandas"],
)
return manager_agent
else:
return None
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