File size: 2,058 Bytes
0ceae10
9b5b26a
0ceae10
9b5b26a
c19d193
0ceae10
8fe992b
0ceae10
 
 
9b5b26a
24bebed
 
9b5b26a
 
 
 
 
 
 
24bebed
0ceae10
 
 
 
 
24bebed
0ceae10
24bebed
0ceae10
 
 
 
 
 
24bebed
 
 
0ceae10
24bebed
 
0ceae10
24bebed
 
 
0ceae10
 
 
 
 
 
 
24bebed
0ceae10
 
 
24bebed
 
 
 
 
0ceae10
24bebed
9b5b26a
0ceae10
24bebed
c6a7931
24bebed
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
from smolagents import CodeAgent, DuckDuckGoSearchTool, InferenceClientModel, 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!

def my_custom_tool(arg1:str, arg2:int)-> str: # it's important to specify the return type
    # Keep this format for the tool description / 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)}"


final_answer = FinalAnswerTool()
model = InferenceClientModel(
    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)

# Load system prompt from prompt.yaml file
with open("prompts.yaml", 'r') as stream:
    prompt_templates = yaml.safe_load(stream)
    
agent = CodeAgent(
    model=model,
    tools=[final_answer], # 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 # Pass system prompt to CodeAgent
)


GradioUI(agent).launch()