File size: 3,958 Bytes
9b5b26a
 
 
 
c19d193
95d5651
6aae614
8fe992b
9b5b26a
 
5df72d6
9b5b26a
f420302
9b5b26a
f420302
9b5b26a
f420302
9b5b26a
f420302
 
 
 
 
 
 
 
 
 
 
 
 
9b5b26a
e58b50f
37750a0
e58b50f
 
eeed482
e58b50f
 
95d5651
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
e58b50f
9b5b26a
 
 
 
 
 
 
 
 
 
 
 
 
 
8c01ffb
 
6aae614
ae7a494
 
 
 
e121372
bf6d34c
 
29ec968
fe328e0
13d500a
8c01ffb
 
9b5b26a
 
8c01ffb
861422e
 
9b5b26a
8c01ffb
8fe992b
e58b50f
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
105
106
107
108
109
110
111
112
113
114
115
116
from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
import datetime
import requests
import pytz
import yaml
import csv
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 get_random_joke()-> 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 fetches a random joke
    Args:
        there's no args
    """
    # Make a GET request to the API
    response = requests.get("https://official-joke-api.appspot.com/random_joke")

    # Check if the request was successful
    if response.status_code == 200:
        # Parse the JSON response
        joke = response.json()
    
        # Return the joke as a formatted string
        return f"{joke['setup']} - {joke['punchline']}"
    else:
        # Return an error message if the request fails
        return f"Failed to retrieve joke. Status code: {response.status_code}"

@tool
def get_user_row(username: str) -> str:
    """A tool that fetches more information about the user in a .csv file.
    Args:
        username: A string that's the user name.
    """

    try:
        # Open the CSV file
        with open("data.csv", mode="r", encoding="utf-8") as file:
            reader = csv.DictReader(file, delimiter=",")
            
            # Initialize a list to store matching rows
            matching_rows = []
            
            # Iterate through each row in the CSV
            for row in reader:
                # Check if the CLIENTE column matches the username (case-insensitive and stripped of whitespace)
                if row["CLIENTE:"].strip().lower() == username.strip().lower():
                    matching_rows.append(row)
            
            # If no matching rows are found, return None
            if not matching_rows:
                return None
            
            # Return the matching rows
            return matching_rows
    
    except FileNotFoundError:
        return "Error: The file 'data.csv' was not found."
    except KeyError:
        return "Error: The 'CLIENTE:' column is missing in the CSV file."
    except Exception as e:
        return f"An unexpected error occurred: {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=[get_user_row,get_random_joke,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()