File size: 3,969 Bytes
9b5b26a
 
 
 
c19d193
6aae614
8fe992b
9b5b26a
 
5df72d6
fec468d
9b5b26a
fec468d
 
9b5b26a
fec468d
 
9b5b26a
fec468d
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
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 generate_motivational_quote(mood: str, goal: str) -> str:
    """A tool that generates a custom motivational quote based on the user's mood and goal.
    Args:
        mood: The user's current mood (e.g., 'happy', 'stressed', 'excited').
        goal: The user's current goal or focus (e.g., 'finish a project', 'learn something new').
    """
    import random

    # Define mood-based phrases
    mood_phrases = {
        "happy": ["Keep shining!", "Your positivity is contagious!", "The world is brighter with you in it!"],
        "stressed": ["Take a deep breath.", "You're stronger than you think.", "This too shall pass."],
        "excited": ["The sky's the limit!", "Your enthusiasm is inspiring!", "Go chase your dreams!"],
        "tired": ["Rest, but don't quit.", "You're making progress, even if it feels slow.", "Tomorrow is a new day."],
        "focused": ["You're in the zone!", "Stay sharp, you're unstoppable!", "Great things are coming your way!"],
    }

    # Define goal-based phrases
    goal_phrases = {
        "finish a project": ["You're almost there!", "The finish line is in sight!", "One step at a time."],
        "learn something new": ["Every expert was once a beginner.", "Knowledge is power!", "Keep curious!"],
        "start a new habit": ["Small steps lead to big changes.", "Consistency is key!", "You're building a better you!"],
        "exercise": ["Your body will thank you!", "Sweat now, shine later!", "You're getting stronger every day!"],
        "relax": ["You deserve this break.", "Recharge and come back stronger.", "Peace begins with a moment of rest."],
    }

    # Default fallback phrases
    default_phrases = [
        "You're capable of amazing things!",
        "Every day is a new opportunity.",
        "Believe in yourself!",
    ]

    # Get mood and goal phrases
    mood_quote = random.choice(mood_phrases.get(mood.lower(), default_phrases))
    goal_quote = random.choice(goal_phrases.get(goal.lower(), default_phrases))

    # Combine into a motivational quote
    return f"🌟 {mood_quote} 🌟 {goal_quote}"

@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()