Spaces:
Running
Running
File size: 3,017 Bytes
9b5b26a c19d193 6aae614 8fe992b 9b5b26a 5df72d6 9b5b26a 258a4f9 9b5b26a 258a4f9 9b5b26a 258a4f9 9b5b26a 8c01ffb 6aae614 e121372 bf6d34c 29ec968 fe328e0 13d500a 8c01ffb 9b5b26a 8c01ffb 861422e 9b5b26a 8c01ffb 8fe992b 258a4f9 8c01ffb 861422e 8fe992b 9b5b26a 8c01ffb |
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 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 |
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
# Below is an example of a tool that does nothing. Amaze us with your creativity !
@tool
def summary_of_paper(query: str, max_results: int = 1) -> str:
"""A tool that searches for a paper on arXiv and summarizes it using a language model.
Args:
query: The search query for the paper.
max_results: The maximum number of search results to return.
"""
try:
# Search for the paper on arXiv
search_url = f"http://export.arxiv.org/api/query?search_query={query}&max_results={max_results}"
response = requests.get(search_url)
if response.status_code != 200:
return f"Error fetching paper from arXiv: {response.status_code}"
# Parse the response
papers = response.text
# For simplicity, let's assume we extract the first paper's summary
# In a real implementation, you would parse the XML response properly
start_idx = papers.find('<summary>') + len('<summary>')
end_idx = papers.find('</summary>', start_idx)
paper_summary = papers[start_idx:end_idx].strip()
# Summarize the paper using a language model
summary_prompt = f"Summarize the following paper: {paper_summary}"
summary_response = model.generate(summary_prompt)
return f"the summary of the paper is: {summary_response}"
except Exception as e:
return f"Error summarizing paper: {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)}"
final_answer = FinalAnswerTool()
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=[summary_of_paper, 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
)
GradioUI(agent).launch() |