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Update app.py
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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()