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from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel,load_tool,tool
import datetime
import requests
import os
import pytz
import yaml
from tools.final_answer import FinalAnswerTool
import requests
from Gradio_UI import GradioUI
TELEGRAM_BOT_TOKEN = os.getenv("TELEGRAM_BOT_TOKEN")
TELEGRAM_CHAT_ID = os.getenv("TELEGRAM_CHAT_ID")
if not TELEGRAM_BOT_TOKEN:
raise ValueError("TELEGRAM_BOT_TOKEN is missing! Did you set it in Hugging Face Secrets?")
# 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 post_to_telegram(message: str) -> str:
"""Posts a message to a Telegram channel using a bot.
Args:
message: The text to post in the Telegram channel.
Returns:
A success or failure message.
"""
url = f"https://api.telegram.org/bot{TELEGRAM_BOT_TOKEN}/sendMessage"
payload = {"chat_id": TELEGRAM_CHAT_ID, "text": message}
try:
response = requests.post(url, json=payload)
response_data = response.json()
if response_data.get("ok"):
return "Message successfully posted to Telegram!"
else:
return f"Failed to post message: {response_data.get('description')}"
except Exception as e:
return f"Error posting to Telegram: {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)}"
@tool
def generate_post(subject: str, max_length: int = 200) -> str:
"""Generates a concise and well-structured post about a given subject.
Args:
subject: The topic to generate a post about.
max_length: The maximum length of the post in characters (default: 200).
Returns:
A well-structured, engaging post about the subject.
"""
prompt = f"Write a concise and engaging social media post about {subject}. Limit the response to {max_length} characters."
try:
global model # Ensure the model is accessible
response = model.run(prompt) # Use .run() instead of .generate_text()
return response[:max_length] # Trim response if needed
except Exception as e:
return f"Error generating post about '{subject}': {str(e)}"
@tool
def generate_image(description: str) -> str:
"""Generates an image based on a textual description.
Args:
description: A detailed description of the image to generate.
Returns:
A URL or path to the generated image, or an error message if the generation fails.
"""
try:
# Use the loaded image generation tool or an external service
global image_generation_tool
response = image_generation_tool(description)
# Assuming the tool returns a URL or a path to the generated image
return response
except Exception as e:
return f"Error generating image: {str(e)}"
@tool
def generate_joke(subject: str) -> str:
"""Generates a joke about a specific subject.
Args:
subject: The topic or subject for the joke.
Returns:
A humorous and creative joke about the given subject.
"""
prompt = f"Write a funny and creative joke about {subject}. Keep it short and engaging."
try:
global model
response = model.run(prompt)
return response.strip()
except Exception as e:
return f"Error generating joke about '{subject}': {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,generate_joke,post_to_telegram], ## 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() |