Spaces:
Sleeping
Sleeping
File size: 4,443 Bytes
9b5b26a c19d193 6aae614 8fe992b 9b5b26a 5df72d6 9b5b26a 3d1237b 9b5b26a cf6e682 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 |
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 my_custom_tool(arg1:str, arg2:int)-> 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 does nothing yet
Args:
arg1: the first argument
arg2: the second argument
"""
return "What magic will you build ?"
@tool
def construction_site_info(city: str, site_id: str = None) -> str:
"""Fetches information about current construction sites.
Args:
city: The city to check for construction sites (e.g., 'Karlsruhe').
site_id: Optional specific construction site ID to get detailed information.
"""
import requests
API_KEY = "your_construction_api_key_here"
BASE_URL = "https://api.construction-info.com/v1"
try:
if site_id:
# Fetch details for a specific construction site
URL = f"{BASE_URL}/sites/{city}/{site_id}?key={API_KEY}"
response = requests.get(URL)
data = response.json()
if "error" in data:
return f"Error: {data['error_message']}"
site = data["site"]
return f"""
Construction Site: {site['name']}
Location: {site['address']}
Type: {site['type']}
Start Date: {site['start_date']}
Expected End Date: {site['end_date']}
Current Status: {site['status']}
Traffic Impact: {site['traffic_impact']}
Contact: {site['contact_info']}
"""
else:
# Fetch list of all construction sites in the city
URL = f"{BASE_URL}/sites/{city}?key={API_KEY}"
response = requests.get(URL)
data = response.json()
if "error" in data:
return f"Error: {data['error_message']}"
sites = data["sites"]
if not sites:
return f"No construction sites found in {city}."
result = f"Found {len(sites)} construction sites in {city}:\n\n"
for site in sites:
result += f"ID: {site['id']} - {site['name']} ({site['status']})\n"
result += f"Location: {site['address']}\n"
result += f"Impact: {site['traffic_impact']}\n\n"
return result
except Exception as e:
return f"Error fetching construction site information: {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='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() |