File size: 1,441 Bytes
8d818e4 9b5b26a c19d193 6aae614 9b5b26a 8d818e4 8c01ffb 6aae614 ae7a494 e121372 8d818e4 13d500a 8c01ffb 861422e 9b5b26a 8c01ffb 8fe992b 8d818e4 8c01ffb 8d818e4 861422e 8fe992b 8d818e4 |
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 |
from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool
import datetime
import pytz
import yaml
from tools.final_answer import FinalAnswerTool
from Gradio_UI import GradioUI
@tool
def search_ai_product_management_news() -> list:
"""A tool that fetches the latest news about AI and Product Management from the web.
Returns a list of news articles sorted by relevance (date and source credibility)."""
search_tool = DuckDuckGoSearchTool()
query = "Artificial Intelligence AND Product Management news"
results = search_tool.search(query, max_results=10)
# Sorting results by date and source credibility (if available)
sorted_results = sorted(results, key=lambda x: (x.get('date', ''), x.get('source', '')), reverse=True)
return sorted_results
final_answer = FinalAnswerTool()
model = HfApiModel(
max_tokens=2096,
temperature=0.5,
model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
custom_role_conversions=None,
)
with open("prompts.yaml", 'r') as stream:
prompt_templates = yaml.safe_load(stream)
agent = CodeAgent(
model=model,
tools=[final_answer, search_ai_product_management_news],
max_steps=6,
verbosity_level=1,
grammar=None,
planning_interval=None,
name="AI News Agent",
description="An agent that fetches and ranks AI & Product Management news",
prompt_templates=prompt_templates
)
GradioUI(agent).launch()
|