Versatile_Agent / app.py
Shamik's picture
adding a title to the spaces and updating the readme.
6f19418 verified
from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
import datetime
import requests
import pytz
import yaml
from tools.final_answer import FinalAnswerTool
import wikipedia
from Gradio_UI import GradioUI
@tool
def search_wikipedia(query: str) -> str:
"""This tool searches wikipedia for a specific article related
to the query.
Args:
query: the user query for which a wikipedia page is retrieved
"""
try:
content = wikipedia.page(title=query, auto_suggest=False).content
return content
except wikipedia.DisambiguationError as err:
return (
f"Your query resulted to the following topics: {err.options}. "
+ "Which one do you want to know about?"
)
except wikipedia.PageError:
if len(search_result := wikipedia.search(query)):
return dedent(
f"The query didn't match an exact page but\
these are the closest search results: {search_result}"
)
else:
return (
f"No search results for: {query}. " + "Please try and be more specific."
)
@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, DuckDuckGoSearchTool(), image_generation_tool,
search_wikipedia], ## 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()