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from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool | |
import datetime | |
import requests | |
import pytz | |
import yaml | |
from rank_bm25 import BM25Okapi | |
from tools.final_answer import FinalAnswerTool | |
from tools.visit_webpage import VisitWebpageTool | |
from tools.web_search import DuckDuckGoSearchTool | |
from Gradio_UI import GradioUI | |
def rank_urls_by_relevance(search_results, query): | |
"""Ranks URLs based on BM25 similarity between query and article titles/snippets.""" | |
docs = [] | |
for res in search_results: | |
docs.append(res[0] + " " + res[2]) | |
tokenized_docs = [doc.lower().split() for doc in docs] | |
bm25 = BM25Okapi(tokenized_docs) | |
query_tokens = query.lower().split() | |
scores = bm25.get_scores(query_tokens) | |
# Sort results by BM25 score (higher is better) | |
ranked_results = sorted(zip(search_results, scores), key=lambda x: x[1], reverse=True) | |
return ranked_results | |
# The tool below uses the DuckDuckGoSearchTool to fetch data from the web that is relevant to the query. | |
# The fetched results are reranked using BM25 and data from the url with the highest score is fetched. | |
def get_answer_from_web(query:str)-> str: #it's import to specify the return type | |
"""A tool that fetches results from the web. This function first calls DuckDuckGoSearchTool and the url received is passed to VisitWebpageTool to receive the final results. | |
Args: | |
query: A string that represents the query to search the web for. | |
""" | |
try: | |
web_search_tool = DuckDuckGoSearchTool() | |
results = web_search_tool.forward(query) | |
visit_webpage_tool = VisitWebpageTool() | |
ranked_results = rank_urls_by_relevance(results, query) | |
page_content = visit_webpage_tool.forward(ranked_results[0][0][1]) | |
return page_content | |
except Exception as e: | |
return f"Error fetching results" | |
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, image_generation_tool, get_current_time_in_timezone, get_answer_from_web], ## 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() |