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Update app.py
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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
@tool
def get_exchange_rate(from_currency: str, to_currency: str) -> float:
"""A tool that fetches the current exchange rate between two currencies using official currency codes
using Rates By Exchange Rate API
Args:
from_currency: The currency code to convert from (e.g., 'USD', 'EUR', 'MGA')
to_currency: The currency code to convert to (e.g., 'USD', 'EUR', 'MGA')
Returns:
float: The exchange rate from the source currency to the target currency
"""
try:
api_url = f"https://open.er-api.com/v6/latest/{from_currency}"
response = requests.get(api_url)
if response.status_code == 200:
data = response.json()
return data['rates'][to_currency]
else:
return f"Error: Unable to fetch exchange rate. Status code: {response.status_code}"
except Exception as e:
return f"Error: {str(e)}"
@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)}"
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, get_exchange_rate, get_current_time_in_timezone],
max_steps=6,
verbosity_level=1,
grammar=None,
planning_interval=None,
name=None,
description=None,
prompt_templates=prompt_templates
)
GradioUI(agent).launch()