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from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel, load_tool, Tool, tool
import datetime
import requests
import pytz
import yaml
from tools.final_answer import FinalAnswerTool
from Gradio_UI import GradioUI
from smolagents.agent_types import AgentImage
import os
from smolagents import LiteLLMModel
import logging
from smolagents import OpenAIModel
# Import tools
from tools.final_answer import FinalAnswerTool
from tools.web_search import DuckDuckGoSearchTool
from agents.tour_guide_agent import TourGuideAgent
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
# 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)}"
# 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
# model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud',
# model_id='deepseek-ai/deepseek-coder-33B-instruct',
model_id='mistralai/Mistral-7B-Instruct-v0.2',
custom_role_conversions=None,
)
# Import tool from Hub
# image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
# Import the image generation tool directly from the Space
image_generation_tool = Tool.from_space(
"black-forest-labs/FLUX.1-schnell",
name="image_generator",
description="Generate an image from a text prompt. The prompt should be detailed to create high-quality images."
)
# Create the web search tool for the tour guide agent
web_search_tool = DuckDuckGoSearchTool(max_results=5)
# Initialize the tour guide agent
tour_guide_agent = TourGuideAgent(
model=model,
tools=[web_search_tool],
max_steps=3,
verbosity_level=1
)
# Final answer tool
final_answer = FinalAnswerTool()
with open("prompts_mas.ymal", 'r') as stream:
prompt_templates = yaml.safe_load(stream)
# Create the coordinator agent
coordinator_agent = CodeAgent(
model=model,
tools=[
final_answer,
image_generation_tool
],
managed_agents=[tour_guide_agent],
max_steps=6,
verbosity_level=1,
name="Journi",
description="Your AI travel companion",
prompt_templates=prompt_templates
)
# Launch the UI
if __name__ == "__main__":
print("✈️ Launching Journi - Your AI Travel Companion")
print("Ask about any destination to see images and get tourist recommendations!")
GradioUI(coordinator_agent).launch() |