Spaces:
Sleeping
Sleeping
File size: 2,607 Bytes
8f0c22d 9b5b26a c19d193 6aae614 8fe992b 9b5b26a 8f0c22d 5df72d6 9b5b26a 4c32228 9b5b26a 4c32228 9b5b26a 4c32228 9b5b26a 8c01ffb 6aae614 e121372 bf6d34c ec30471 fe328e0 13d500a 8c01ffb 9b5b26a 4c32228 8f0c22d 8c01ffb 861422e 9b5b26a 8c01ffb 8fe992b 8f0c22d 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 |
from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool, Tool
import datetime
import requests
import pytz
import yaml
from tools.final_answer import FinalAnswerTool
from Gradio_UI import GradioUI
class HFModelDownloadsTool(Tool):
name = "model_download_counter"
description = """
This is a tool that returns the most downloaded model of a given task on the Hugging Face Hub.
It returns the name of the checkpoint."""
inputs = {
"task": {
"type": "string",
"description": "the task category (such as text-classification, depth-estimation, etc)",
}
}
output_type = "string"
def forward(self, task: str):
from huggingface_hub import list_models
model = next(iter(list_models(filter=task, sort="downloads", direction=-1)))
return model.id
# Below is an example of a tool that does nothing. Amaze us with your creativity !
@tool
def calculator_multiply(num1:int, num2:int)-> int:
"""A tool that multiplies the two provided numbers.
Args:
num1: the first argument
num2: the second argument
"""
return num1 * num2
@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()
model = HfApiModel(
max_tokens=2096,
temperature=0.5,
model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
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()
model_downloads_tool = HFModelDownloadsTool()
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, model_downloads_tool], ## 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() |