File size: 3,611 Bytes
9b5b26a
 
 
 
c19d193
6aae614
c12219a
9b5b26a
 
c12219a
 
5df72d6
9b5b26a
c12219a
 
 
 
9b5b26a
c12219a
 
 
9b5b26a
c12219a
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
9b5b26a
 
 
 
 
 
 
 
 
 
 
 
 
 
 
8c01ffb
 
6aae614
ae7a494
 
 
 
e121372
bf6d34c
 
29ec968
fe328e0
13d500a
8c01ffb
 
9b5b26a
 
8c01ffb
861422e
 
9b5b26a
8c01ffb
8fe992b
d2f6a24
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
from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
import datetime
import requests
import pytz
import yaml
from tools.final_answer import FinalAnswerTool
import json
from Gradio_UI import GradioUI

# Below is an example of a tool that does nothing. Amaze us with your creativity !
duckduckgo_tool=DuckDuckGoSearchTool()
# Below is an example of a tool that does nothing. Amaze us with your creativity !
@tool


def animewatcher(anime_name: str) -> str:
    """A tool that searches for anime details using DuckDuckGo.
    Args:
        anime_name: The name of the anime to search for.
    Returns:
        A formatted string with anime search results or an error message.
    """
    try:
        search_query = f"{anime_name} anime details"
        results = duckduckgo_tool(search_query)  # Fetch results from DuckDuckGo
        
        # Debugging: Print what we receive
        print(f"Debug: Raw DuckDuckGo results -> {results} (Type: {type(results)})")

        # If results is a string, try parsing it as JSON (if possible)
        if isinstance(results, str):
            try:
                results = json.loads(results)  # Attempt JSON parsing
            except json.JSONDecodeError:
                return f"Error: Unexpected response format. Raw output: {results}"
        
        # Ensure results is a list
        if not isinstance(results, list) or not results:
            return f"No results found for '{anime_name}'. Maybe it's underrated!"

        # Limit results to the first 3 entries
        results = results[:3]

        # Format response
        response = f"🔍 **Anime Search Results for '{anime_name}':**\n\n"
        for i, result in enumerate(results, 1):
            title = result.get('title', 'No title available')
            href = result.get('href', 'No link available')
            response += f"{i}. **{title}**\n🔗 {href}\n\n"

        return response.strip()

    except Exception as e:
        return f"⚠️ Error searching for '{anime_name}': {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], ## 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()