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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
@tool
def generate_key_results(objective: str) -> list[str]:
"""
Queries the Qwen2.5-Coder-32B-Instruct model to generate key results for a given objective.
Args:
objective (str): The objective for which key results should be generated.
Returns:
list[str]: A list of key results generated by the model.
"""
url = "https://api-inference.huggingface.co/models/Qwen/Qwen2.5-Coder-32B-Instruct"
headers = {"Authorization": f"Bearer {HUGGINGFACE_API_KEY}"}
payload = {"inputs": f"Objective: {objective}\nGenerate three key results for this objective."}
response = requests.post(url, headers=headers, json=payload)
if response.status_code != 200:
raise Exception(f"API request failed: {response.json()}")
output_text = response.json()[0]["generated_text"]
key_results = output_text.split("\n")
return [kr.strip("- ") for kr in key_results if kr]
@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() |