File size: 3,556 Bytes
9b5b26a
 
 
 
c19d193
6aae614
8fe992b
9b5b26a
 
5df72d6
9b5b26a
ab2a5d5
a44827b
39ec6cd
6a5270d
 
39ec6cd
 
 
ab2a5d5
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
9b5b26a
 
 
 
 
 
 
 
 
 
 
 
 
 
 
8c01ffb
 
6aae614
ae7a494
 
 
 
e121372
bf6d34c
 
29ec968
fe328e0
13d500a
8c01ffb
 
9b5b26a
 
8c01ffb
861422e
 
9b5b26a
8c01ffb
8fe992b
ab2a5d5
8c01ffb
 
 
 
 
 
861422e
8fe992b
 
9b5b26a
8c01ffb
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
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

# Below is an example of a tool that does nothing. Amaze us with your creativity !
@tool
def my_custom_tool(location: str, utc_offset: int) -> str:
    """  Generates relevant information about a given location's timezone, including possible timezones and major cities.   
    Args:
        location: The name of the location to look up (e.g., 'America/New_York').
        utc_offset: The UTC offset in hours to search for matching timezones.
    Returns:
        str: A message listing possible timezones and major cities for the given UTC offset.
    """
    try:
        # Determine possible timezone based on UTC offset
        all_timezones = pytz.all_timezones
        matching_timezones = [tz for tz in all_timezones if datetime.datetime.now(pytz.timezone(tz)).utcoffset().total_seconds() / 3600 == utc_offset]
        
        if not matching_timezones:
            return f"No matching timezones found for UTC offset {utc_offset}."
        
        # Mapping of some major cities to their timezones
        city_timezone_map = {
            "New York": "America/New_York",
            "Los Angeles": "America/Los_Angeles",
            "London": "Europe/London",
            "Paris": "Europe/Paris",
            "Tokyo": "Asia/Tokyo",
            "Sydney": "Australia/Sydney"
        }
        
        matching_cities = [city for city, tz in city_timezone_map.items() if tz in matching_timezones]
        
        return f"Possible timezones for {location} with UTC offset {utc_offset}: {', '.join(matching_timezones)}. Major cities: {', '.join(matching_cities) if matching_cities else 'No major cities found.'}"
    except Exception as e:
        return f"Error processing location '{location}': {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()

# 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, my_custom_tool, get_current_time_in_timezone], ## 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()