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Update app.py
64d4def verified
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 interweave_strings(arg1: str, arg2: str) -> str:
"""A tool that interweaves two strings character-by-character.
Args:
arg1: The first input string to be interweaved with the second.
arg2: The second input string to be interweaved with the first.
"""
# Build the interleaved string for the overlapping part.
interwoven_chars = []
for ch1, ch2 in zip(arg1, arg2):
interwoven_chars.append(ch1)
interwoven_chars.append(ch2)
# Append the remaining part of the longer string (if any).
if len(arg1) > len(arg2):
interwoven_chars.append(arg1[len(arg2):])
elif len(arg2) > len(arg1):
interwoven_chars.append(arg2[len(arg1):])
return "".join(interwoven_chars)
@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()
DuckDuckGoSearchTool = DuckDuckGoSearchTool()
model = HfApiModel(
max_tokens=2096,
temperature=0.5,
model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
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, interweave_strings, DuckDuckGoSearchTool, 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()