File size: 3,710 Bytes
dbf32b7
9b5b26a
 
 
c19d193
6aae614
8fe992b
51264a9
9b5b26a
5df72d6
9b5b26a
3d1237b
9b5b26a
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
8c01ffb
 
6aae614
ae7a494
 
 
 
66df153
 
 
 
 
 
8c01ffb
 
9b5b26a
 
8c01ffb
dbf32b7
 
 
 
861422e
 
8fe992b
920226a
 
9b5b26a
66df153
 
 
 
 
 
 
 
 
 
 
 
 
51264a9
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
920226a
51264a9
 
 
 
 
 
 
 
 
 
66df153
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
from smolagents import CodeAgent, DuckDuckGoSearchTool, VisitWebpageTool, 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(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 ?"

@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)

# initialize web browsing and searching tools
web_search_engine = DuckDuckGoSearchTool()
web_browser = VisitWebpageTool()

with open("prompts.yaml", 'r') as stream:
    prompt_templates = yaml.safe_load(stream)

tools = [final_answer, get_current_time_in_timezone, web_search_engine, web_browser], ## add your tools here (don't remove final answer)
# tools = [final_answer], ## add your tools here (don't remove final answer)

# agent = CodeAgent(
#     model=model,
#     tools=[final_answer, get_current_time_in_timezone, web_search_engine, web_browser], ## 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
# )


class AgentCloner:
    def __init__(self, avalaible_tools: list[callable], prompt_templates: list[dict]) -> None:
        self.avalaible_tools = avalaible_tools
        self.prompt_templates = prompt_templates

    def clone(self):
        new_model_client = 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,
            )
        final_answer = FinalAnswerTool()
        new_agent = CodeAgent(
            model=new_model_client,
            # tools=self.avalaible_tools,
            tools=[final_answer, get_current_time_in_timezone, web_search_engine, web_browser],
            max_steps=6,
            verbosity_level=1,
            grammar=None,
            planning_interval=None,
            name=None,
            description=None,
            prompt_templates=self.prompt_templates
        )
        return new_agent

GradioUI(AgentCloner(tools, prompt_templates)).launch()