Spaces:
Sleeping
Sleeping
File size: 3,149 Bytes
9b5b26a c19d193 6aae614 8fe992b 9b5b26a 5df72d6 9b5b26a 4219351 9b5b26a 4219351 9b5b26a 4219351 8c01ffb 6aae614 ae7a494 e121372 bf6d34c 29ec968 fe328e0 13d500a 8c01ffb 9b5b26a 8c01ffb 861422e 9b5b26a 8c01ffb 8fe992b d2f6a24 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 87 88 89 90 91 92 |
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 pubmed_search_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
"""
base_url = "https://eutils.ncbi.nlm.nih.gov/entrez/eutils/esearch.fcgi"
params = {
"db": "pubmed",
"term": query, # Terme de recherche (ex: "diabetes treatment")
"retmax": 5, # Nombre maximum de résultats
"retmode": "xml" # Format XML pour récupérer les résultats
}
response = requests.get(base_url, params=params)
if response.status_code != 200:
return "Erreur lors de la recherche sur PubMed."
# Parser la réponse XML pour extraire les IDs des articles
root = ElementTree.fromstring(response.content)
article_ids = [id_elem.text for id_elem in root.findall(".//Id")]
if not article_ids:
return "Aucun article trouvé pour cette requête."
# Construire les liens vers PubMed
pubmed_links = [f"https://pubmed.ncbi.nlm.nih.gov/{article_id}/" for article_id in article_ids]
return "\n".join(pubmed_links)
# @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,
)
# 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], ## 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() |