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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 ! | |
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 ?" | |
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() |