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9b5b26a c19d193 6aae614 8fe992b 9b5b26a 5df72d6 9b5b26a a071f1a 9b5b26a a071f1a 9b5b26a a071f1a 9b5b26a a071f1a 27e7b50 a071f1a 9b5b26a 9f67c43 9b5b26a 8c01ffb 6aae614 ae7a494 e121372 bf6d34c bfa6770 e341ff5 aba3f03 fe328e0 13d500a 8c01ffb 9e701f9 9b5b26a 8c01ffb 861422e 9b5b26a 8c01ffb 8fe992b a071f1a 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 | 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 text_analyzer_tool(text: str)-> 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
"""Analyzes a given text to count the number of words and characters.
This is useful for getting the specific length of a piece of text.
Args:
text: The string of text that you want to analyze.
"""
# Get the number of characters
num_chars = len(text)
# Get the number of words by splitting the text by spaces and counting the parts
num_words = len(text.split())
# Create a clear, descriptive return message for the agent
return f"The text has {num_chars} characters and {num_words} words."
@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
# model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud',
model_id='Qwen/Qwen2.5-14B-Instruct-1M',
custom_role_conversions=None,
)
search_tool = DuckDuckGoSearchTool()
# 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, image_generation_tool, search_tool, text_analyzer_tool],
max_steps=6,
verbosity_level=1,
grammar=None,
planning_interval=None,
name=None,
description=None,
prompt_templates=prompt_templates
)
GradioUI(agent).launch() |