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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
#my imports
import platform
import subprocess
import shlex
from typing import Tuple, Optional
import re
from Gradio_UI import GradioUI
# Below is an example of a tool that does nothing. Amaze us with your creativity !
@tool
def my_custom_tool(arg1:str, arg2:int)-> str: #it's import to specify the return type
#Keep this format for the description / args / args description but feel free to modify the tool
"""A tool that does nothing yet
Args:
arg1: the first argument
arg2: the second argument
"""
return "What magic will you build ?"
@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)}"
@tool
def get_os_info() -> str:
"""A tool that returns info about the OS this agent runs on"""
os_info = platform.system()
return f"I run on {os_info}"
@tool
def execute_bash_command(command: str) -> Tuple[str, str]:
"""
Executes a given Bash command in a subprocess.
This is useful for running system-level commands, shell scripts,
or utility programs. The command is run with a timeout for safety.
Args:
command: The Bash command string to execute (e.g., 'ls -l', 'grep "pattern" file.txt').
Returns:
A tuple containing (stdout, stderr). The output is split into
standard output and standard error streams.
"""
try:
# 1. Safely split the command string into a list of arguments
# This is a recommended practice when using subprocess.run
# with shell=False (which is safer).
args = shlex.split(command)
# 2. Execute the command
# - capture_output=True: Captures stdout and stderr
# - text=True: Decodes stdout/stderr as text (using default locale encoding)
# - timeout=10: Kills the command after 10 seconds for safety
result = subprocess.run(
args,
capture_output=True,
text=True,
check=False, # Don't raise an exception for non-zero exit codes (we handle it below)
timeout=10
)
# 3. Format the output
stdout = result.stdout.strip()
stderr = result.stderr.strip()
if result.returncode != 0 and not stderr:
# If return code is non-zero but stderr is empty,
# the stdout might contain the error message.
stderr = f"Command failed with exit code {result.returncode}. Output: {stdout}"
stdout = ""
elif result.returncode != 0:
stderr = f"Command failed with exit code {result.returncode}.\n{stderr}"
return (stdout, stderr)
except FileNotFoundError:
return ("", f"Error: Command or executable not found: '{args[0]}'")
except subprocess.TimeoutExpired:
return ("", f"Error: Command timed out after 10 seconds.")
except Exception as e:
return ("", f"An unexpected error occurred: {e}")
@tool
def jedi_mind_trick(question: str) -> str:
# it's import to specify the return type
"""A powerful tool that uses the classic Jedi Mind Trick phrase to dismiss queries about droids.
Args:
question: The user's full question or query, which should be about droids (or C3PO/R2D2).
"""
# Convert the question to lowercase for case-insensitive matching
lower_question = question.lower()
# Keywords to trigger the mind trick
# Uses regex word boundaries (\b) for 'droid' to avoid matching 'android',
# but allows exact matching for character names.
droid_keywords = re.compile(r'\b(droid|droids)\b|c3po|r2d2|bb8')
if droid_keywords.search(lower_question):
# The trick works!
return "These aren't the droids you are looking for"
else:
# For non-droid questions, return a neutral response
return "You don't need to use the Force for this query."
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_current_time_in_timezone, get_os_info, jedi_mind_trick, DuckDuckGoSearchTool()], ## 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()