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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 tools.visit_webpage import VisitWebpageTool
from tools.web_search import DuckDuckGoSearchTool
import os
from dotenv import load_dotenv
load_dotenv(override=True)
from Gradio_UI import GradioUI
@tool
def get_crypto_price(coin_name: str) -> str:
"""Get latest crypto price in usd for a given coin name
Args:
coin_name: The unique name of the coin in lowercase. e.g. bitcoin.
"""
api_key = os.getenv("COINGECKO_API_KEY")
headers = {"accept": "application/json", "x-cg-demo-api-key": api_key}
url = f"https://api.coingecko.com/api/v3/simple/price?ids={coin_name}&vs_currencies=usd"
response = requests.get(url, headers=headers)
data = response.json()
if coin_name in data and "usd" in data[coin_name]:
price = data[coin_name]["usd"]
return price
else:
return None
@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)}"
search_tool = DuckDuckGoSearchTool(max_results=10)
visit_webpage_tool = VisitWebpageTool()
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)
welcome_message = """
## Welcome!
I can help you with:
- Getting cryptocurrency prices (e.g. "What's the current price of bitcoin?")
- Searching the web for information
- Generating images from text descriptions
- General knowledge questions
- And more!
"""
agent = CodeAgent(
model=model,
tools=[
final_answer,
visit_webpage_tool,
search_tool,
get_current_time_in_timezone,
get_crypto_price,
image_generation_tool,
],
max_steps=6,
verbosity_level=1,
grammar=None,
planning_interval=None,
name=None,
description=welcome_message,
prompt_templates=prompt_templates,
)
GradioUI(agent, description=welcome_message).launch()
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