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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
from sentence_transformers import SentenceTransformer, util
import wikipedia
@tool
def find_unexpected_analogy(topic: str) -> str:
"""A tool that Finds an unexpected but relevant analogy for a given topic
Args:
topic: A string that provides text for analogy search
"""
try:
# Get a summary from Wikipedia
summary = wikipedia.summary(topic, sentences=2)
# Pretrained model for embeddings (semantic similarity search)
model = SentenceTransformer('all-MiniLM-L6-v2')
topic_embedding = model.encode(topic, convert_to_tensor=True)
# Potential analogy candidates (could be expanded)
candidate_topics = ["ant colonies", "internet routing", "biological ecosystems", "black holes", "swarm intelligence", "musical composition"]
candidate_embeddings = model.encode(candidate_topics, convert_to_tensor=True)
# Find most unexpected but semantically relevant analogy
similarities = util.pytorch_cos_sim(topic_embedding, candidate_embeddings)
best_index = similarities.argmin().item() # Find the most *distant* but related topic
analogy = candidate_topics[best_index]
return f"For '{topic}', an unexpected analogy is '{analogy}'. Why? {summary}"
except Exception as e:
return f"Error generating analogy: {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',
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, get_current_time_in_timezone, find_unexpected_analogy], # 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()