File size: 3,209 Bytes
9b5b26a
 
 
 
c19d193
24368d7
6aae614
24368d7
8fe992b
9b5b26a
 
5df72d6
9b5b26a
d418a87
9b5b26a
dd5153e
9b5b26a
24368d7
 
9b5b26a
24368d7
dd5153e
24368d7
 
 
 
85fca79
24368d7
 
 
 
 
 
 
 
 
5511494
24368d7
b9f2b5d
24368d7
 
 
 
 
9b5b26a
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
8c01ffb
 
6aae614
ae7a494
 
45762cb
ae7a494
e121372
bf6d34c
 
45762cb
 
fe328e0
13d500a
8c01ffb
 
9b5b26a
 
b5cdd81
8c01ffb
861422e
 
9b5b26a
8c01ffb
8fe992b
85fca79
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
from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
import datetime
import requests
import pytz
import yaml
import urllib.request as libreq
from tools.final_answer import FinalAnswerTool
import feedparser

from Gradio_UI import GradioUI

# Below is an example of a tool that does nothing. Amaze us with your creativity !
@tool
def my_paper_search_tool(search_query:str, num_of_papers: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 takes search_query to find all the articles in ArXiv
    Args:
        search_query: search query
        num_of_papers: number of articles
    """
    try: 
        search_query = search_query.replace(' ','+')
        with libreq.urlopen(f'http://export.arxiv.org/api/query?search_query=all:{search_query}&start=0&max_results={num_of_papers}') as url:
            r=url.read()

        feed = feedparser.parse(r)
        papers= []
        for entry in feed.entries:
            papers.append({
            "title": entry.title,
            "authors": [author.name for author in entry.authors],
            "published": entry.published,
            "summary": entry.summary,
            "pdf_link": entry.link
        })
    
        return f"Here are the some of the top results: {papers}"
    except Exception as e:
        return f"Error fetching papers for '{search_query}': {str(e)}"
    
        
            

        
    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',
model_id = model_id, # 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)
# papers = my_paper_search_tool()

with open("prompts.yaml", 'r') as stream:
    prompt_templates = yaml.safe_load(stream)
    
agent = CodeAgent(
    model=model,
    tools=[my_paper_search_tool,  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()