File size: 3,489 Bytes
9b5b26a
 
 
 
c19d193
6aae614
8fe992b
9b5b26a
 
5df72d6
9b5b26a
337f263
9b5b26a
99ff957
5e07b61
 
9b5b26a
ba9a3be
5e07b61
 
 
9b5b26a
5e07b61
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
9b5b26a
 
 
 
 
 
 
 
 
 
 
 
 
 
 
8c01ffb
 
6aae614
ae7a494
 
 
 
e121372
bf6d34c
 
29ec968
fe328e0
13d500a
8c01ffb
f117e9c
8c01ffb
 
861422e
 
9b5b26a
8c01ffb
8fe992b
337f263
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
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 search_and_generate_popular_image(category:str)-> 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 Searches for the most popular {category} using DuckDuckGoSearchTool,
    then generates an image of that item using image_generation_tool.
    
    Args:
        category: A string representing the category to search for (e.g., "animal", "car", "fruit").
    
    Returns:
        Generated image of the most popular item in the given category.
    """
    if not category:
        return "Please provide a category to search for."

    # Step 1: Search for the most popular item in the category
    search_tool = DuckDuckGoSearchTool()
    query = f"most popular {category} in the world"
    search_results = search_tool.run(query)

    if not search_results:
        return f"No search results found for the most popular {category}."

    # Step 2: Extract a relevant item name using regex
    match = re.search(r"\b[A-Z][a-z]+\b", search_results)  # Extracts a capitalized word (name)
    
    if match:
        item_name = match.group(0)
    else:
        return f"Could not identify a popular {category} from the search results."

    # Step 3: Generate an image of the identified item
    # Import tool from Hub
    image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
    image_prompt = f"A high-quality, realistic image of a {item_name}."
    
    return image_generation_tool(image_prompt)  # Return the generated image

@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,
)

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,image_generation_tool,DuckDuckGoSearchTool()], ## 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()