File size: 1,531 Bytes
4d4b0b3 6942270 4d4b0b3 |
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 |
import requests
import os
from dotenv import load_dotenv
from smolagents import CodeAgent, WikipediaSearchTool, VisitWebpageTool, DuckDuckGoSearchTool, InferenceClientModel
load_dotenv()
print(os.environ)
class TheAgent:
def __init__(self):
headers = {
"User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/138.0.0.0 Safari/537.36",
"Accept-Language": "en-US,en;q=0.9,en;q=0.8"
}
search_tool = DuckDuckGoSearchTool(rate_limit = 5, headers=headers)
wiki_tool = WikipediaSearchTool()
page_tool = VisitWebpageTool()
model_id = "Qwen/Qwen3-235B-A22B-Instruct-2507"
# model_id = "Qwen/Qwen3-1.7B"
self.agent = CodeAgent(
tools=[wiki_tool, page_tool, search_tool],
model=InferenceClientModel(model_id=model_id),
)
print("BasicAgent initialized.")
def __call__(self, question: str):
try:
result = self.agent.run(question)
return str(result)
except requests.exceptions.HTTPError as e:
print(f"Error: {e.response.text}")
if __name__ == "__main__":
agent = TheAgent()
question = "Who nominated the only Featured Article on English Wikipedia about a dinosaur that was promoted in November 2016?"
question = "How many studio albums were published by Mercedes Sosa between 2000 and 2009 (included)? You can use the latest 2022 version of english wikipedia."
answer = agent(question)
print(f"Answer: {answer}")
|