File size: 2,262 Bytes
06ddaa9
6aae614
9b5b26a
32ffb76
2b4b055
 
 
 
d3484a0
 
5df72d6
426e86d
9b5b26a
426e86d
 
9b5b26a
426e86d
9b5b26a
426e86d
 
 
9b5b26a
 
 
 
 
 
 
 
 
 
 
 
 
 
8c01ffb
 
6aae614
ae7a494
 
 
 
e121372
bf6d34c
 
29ec968
fe328e0
13d500a
8c01ffb
 
9b5b26a
 
8c01ffb
861422e
 
9b5b26a
8c01ffb
8fe992b
92c72cc
8c01ffb
 
 
 
2e197fd
426e86d
861422e
8fe992b
 
426e86d
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
from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool
from tools.final_answer import FinalAnswerTool
from Gradio_UI import GradioUI
from tools.generate_prompts import generate_prompts
import os
import yaml
import datetime
import requests


# Below is an example of a tool that does nothing. Amaze us with your creativity !

@tool
def generate_headlines(topic: str) -> str:
    """Generates 3 SEO-optimized headlines based on a given topic or keyword.
    Args:
        topic: The subject or keyword for the article.
    """
    prompt = f"Generate 3 catchy, SEO-friendly headlines for a blog post about: {topic}"
    return prompt
    
@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=[generate_prompts],  #
    max_steps=6,
    verbosity_level=1,
    grammar=None,
    planning_interval=None,
    name="SEOHeadlineAgent",
    description="Generates SEO-optimized headlines based on a topic.",
    prompt_templates=prompt_templates
)



GradioUI(agent).launch()