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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 | |
# import os | |
# from huggingface_hub import InferenceClient | |
# HF_API_KEY = os.getenv("HF_API_KEY") | |
# if not HF_API_KEY: | |
# raise ValueError("HF_API_KEY is not set. Please add it as a secret in your Hugging Face Space settings.") | |
# client = InferenceClient(token=HF_API_KEY) | |
# response = client.text_generation("Hello!", model="Qwen/Qwen2.5-Coder-32B-Instruct") | |
# print("HF_API_KEY", HF_API_KEY) | |
# print(response) | |
# # 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 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='moonshotai/Moonlight-16B-A3B-Instruct', | |
model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud', | |
# 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 | |
# ) | |
agent2 = CodeAgent(tools=[DuckDuckGoSearchTool()], model=model) | |
GradioUI(agent2).launch() |