First_AI_Agent / app.py
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from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
import datetime
import requests
import pytz
import yaml
import urllib.parse
from tools.final_answer import FinalAnswerTool
from Gradio_UI import GradioUI
@tool
def calculator(expression: str)-> str: # Returns a string result
"""
A tool able to solve mathematical expressions using the mathjs.org API.
Args:
expression: A mathematical expression to solve (e.g., "1+2", "3*5").
Returns:
str: The result of the calculation if successful, or an error message if the request fails.
"""
# URL-encode to ensure correct API interpretation
encoded_expression = urllib.parse.quote(expression, safe="")
try:
api_url = f"http://api.mathjs.org/v4/?expr={encoded_expression}"
response = requests.get(api_url)
if response.status_code == 200:
return f"Result: {response.text}"
else:
return f"Error: {response.text}"
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()
model = HfApiModel(
max_tokens=2096,
temperature=0.5,
# model_id='replace_with_your_inference_endpoint', # Replace with your inference endpoint
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, calculator, get_current_time_in_timezone, image_generation_tool], ## 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()