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import datetime
import requests
import pytz
import yaml
from tools.final_answer import FinalAnswerTool
from Gradio_UI import GradioUI
import re
@tool
def youtube_search_duckduckgo(query: str) -> str:
"""
Searches YouTube via DuckDuckGoSearchTool and returns HTML embeds of the top 3 videos and it's not bad!
Args:
query: The search term.
"""
search = DuckDuckGoSearchTool()
# Limit search to YouTube only
results = search(f"site:youtube.com/watch {query}")
video_ids = []
for res in results:
# Try to find YouTube video links
match = re.search(r"youtube\.com/watch\?v=([A-Za-z0-9_-]{11})", res)
if match:
video_ids.append(match.group(1))
if len(video_ids) == 3:
break
if not video_ids:
return "No YouTube videos found."
html = ""
for vid in video_ids:
html += f"""
<div style="margin-bottom:16px">
<iframe width="360" height="203"
src="https://www.youtube.com/embed/{vid}"
frameborder="0" allowfullscreen></iframe>
</div>
"""
return html
# 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
# custom_role_conversions=None,
# )
model = HfApiModel(
max_tokens=2096,
temperature=0.5,
model_id='google/flan-t5-base', # <-- swap for a smaller/free model
custom_role_conversions=None,
)
model.last_input_token_count = 0 # <-- add this line
# 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, get_current_time_in_timezone, youtube_search_duckduckgo], ## 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() |