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9b5b26a c19d193 6aae614 8fe992b 9b5b26a 5df72d6 9b5b26a 4ef9116 fdec20a 9b5b26a 4ef9116 9b5b26a fdec20a d01b17b 8b67ac1 d01b17b 8b67ac1 9b5b26a 8c01ffb 6aae614 ae7a494 e121372 bf6d34c e850277 fe328e0 13d500a 8c01ffb 9b5b26a 8c01ffb fdec20a 861422e 9b5b26a 8c01ffb 8fe992b fdec20a 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 | 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 get_company_product_list(product_type:str, company_name:int)-> str: #it's import to specify the return type
"""A tool that get product list of company.
Args:
product_type: product_type(e.g., 'medical')
company_name: company_name(e.g., 'Beji', 'Merck')
"""
company_product_list = {
"medical": {
"Beji": ["安加维", "白泽安"],
"Merck": ["捷诺达"]
}
}
try:
product_list = company_product_list[product_type][company_name]
return f"""产品列表如下:{', '.join(product_list)}"""
except Exception as e:
return f"Error fetching 产品列表 for timezone '{company_name}, {product_type}': {str(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='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud',# 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)
web_search_tool = DuckDuckGoSearchTool()
with open("prompts.yaml", 'r') as stream:
prompt_templates = yaml.safe_load(stream)
agent = CodeAgent(
model=model,
tools=[final_answer, image_generation_tool, web_search_tool, get_company_product_list, get_current_time_in_timezone], ## 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() |