File size: 3,641 Bytes
9b5b26a
 
 
 
c19d193
6aae614
8fe992b
9b5b26a
 
5df72d6
976c3b8
9b5b26a
985fec8
f9e801a
985fec8
9b5b26a
f9e801a
 
 
985fec8
ffad5ad
f9e801a
8f3f9bb
 
f9e801a
 
 
 
 
985fec8
f9e801a
 
 
 
 
985fec8
f9e801a
985fec8
 
 
f9e801a
985fec8
 
 
f9e801a
985fec8
f9e801a
985fec8
 
 
 
 
 
 
f9e801a
985fec8
f9e801a
 
9b5b26a
 
 
 
 
 
 
 
 
 
 
 
 
 
 
8c01ffb
 
6aae614
ae7a494
 
 
 
e121372
bf6d34c
 
29ec968
fe328e0
13d500a
8c01ffb
 
9b5b26a
 
8c01ffb
861422e
 
9b5b26a
8c01ffb
8fe992b
fa4af6f
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
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
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 temperature_converter(operation: str) -> str:
    """A secure temperature converter tool that evaluates basic temperature conversions.

    Args:
        operation: The conversion request in the format "<value> <unit> to <target_unit>" 
                         (e.g., "100 C to F", "32 F to C").
                         Supports conversions between Celsius ('C') and Fahrenheit ('F').

    Returns:
        str: The converted temperature result or an error message.
    """
    try:
        # Allowed characters for security
        allowed_chars = set("0123456789CFcf toTO-. ")
        
        if not all(c in allowed_chars for c in operation):
            return "Error: Only 'C' (Celsius) and 'F' (Fahrenheit) conversions are allowed."

        # Normalize input
        operation = operation.strip().upper().replace("TO", " to ")

        # Ensure format is correct
        parts = operation.split()
        if len(parts) != 4 or parts[2] != "TO":
            return "Error: Invalid format. Use the format '100 C to F'."

        value, from_unit, _, to_unit = parts

        # Ensure value is a valid number
        try:
            value = float(value)
        except ValueError:
            return "Error: Invalid temperature value."

        # Perform conversion
        if from_unit == "C" and to_unit == "F":
            result = (value * 9/5) + 32
        elif from_unit == "F" and to_unit == "C":
            result = (value - 32) * 5/9
        else:
            return "Error: Supported conversions are 'C to F' and 'F to C'."

        return f"Result: {value}°{from_unit} = {result:.2f}°{to_unit}"

    except Exception as e:
        return f"Error converting {operation}: {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,temperature_converter,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()