smolagents / app.py
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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
import wikipedia
from Gradio_UI import GradioUI
@tool
def wikipedia_summary(query: str, sentences: int = 3) -> str:
"""Fetches a summary from Wikipedia for a given query.
Args:
query: The topic to search on Wikipedia.
sentences: Number of sentences to return from the summary.
"""
try:
return wikipedia.summary(query, sentences=sentences)
except wikipedia.exceptions.DisambiguationError as e:
return f"Multiple results found, be more specific: {e.options}"
except wikipedia.exceptions.PageError:
return "No Wikipedia page found for this query."
@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)}"
duckduckgo_tool = DuckDuckGoSearchTool()
@tool
def compare_wikipedia_duckduckgo(query: str) -> str:
"""Compares Wikipedia summary with DuckDuckGo search results.
Args:
query: A string representing the search term for comparison.
Returns:
A formatted string comparing Wikipedia's summary with DuckDuckGo search results.
"""
wiki_summary = wikipedia_summary(query)
search_results = duckduckgo_tool.run(query)
return f"Wikipedia Summary:\n{wiki_summary}\n\nTop Search Results:\n{search_results}"
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, wikipedia_summary, duckduckgo_tool, compare_wikipedia_duckduckgo],
max_steps=6,
verbosity_level=1,
grammar=None,
planning_interval=None,
name=None,
description=None,
prompt_templates=prompt_templates
)
GradioUI(agent).launch()