File size: 1,660 Bytes
9d660fa
 
9b5b26a
 
 
c19d193
6aae614
8fe992b
9b5b26a
 
 
3241948
 
9d660fa
3241948
9d660fa
3241948
 
9d660fa
 
 
 
 
 
9b5b26a
 
9d660fa
9b5b26a
 
 
8c01ffb
9d660fa
6aae614
9d660fa
 
6f93f6a
 
 
9d660fa
6f93f6a
13d500a
8c01ffb
9d660fa
 
8c01ffb
861422e
 
9d660fa
 
8fe992b
3241948
8c01ffb
 
 
 
 
 
861422e
8fe992b
 
9d660fa
 
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

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 generate_an_image(arg1:str)->int: 
    """A tool that generates an image with given description 
    Args:
        arg1: a description of what should be displayed on image
    """
    
    return image_generation_tool(arg1)
@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:
        tz = pytz.timezone(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 = 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,
)


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,generate_an_image],
    max_steps=6,
    verbosity_level=1,
    grammar=None,
    planning_interval=None,
    name=None,
    description=None,
    prompt_templates=prompt_templates
)


GradioUI(agent).launch()