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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 | |
import requests | |
from bs4 import BeautifulSoup | |
import json | |
from tools.visit_webpage import VisitWebpageTool | |
# Trying to fix an error I was getting: | |
import re | |
# Below is an example of a tool that does nothing. Amaze us with your creativity ! | |
def my_custom_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 | |
""" | |
return "What magic will you build ?" | |
# Creating an example function to get data from a website of my choice | |
def webpage_contents_get(url:str, headers_in: dict = None)-> bytes: #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 simple function to grab contents of a webpage. As this is very long and not easily interpretable, | |
summaries based on other tools applied to this content should be returned to users with questions. | |
Printing the value returned from this function is not acceptable. | |
Args: | |
url: The URL the contents of which the tool will get | |
headers_in: A dictionary which defines the headers for the request. Defaults to None | |
""" | |
response = requests.get(url, headers = headers_in) | |
#html_content = response.text | |
return response.content | |
def webpage_header_get(url:str)-> dict: #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 simple function to grab header of a webpage. Can be passed into webpage_contents_get if desired. | |
Args: | |
url: string The URL the contents of which the tool will get | |
""" | |
response = requests.get(url) | |
return response.headers | |
def webpage_json_get(url:str)-> json: #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 simple function to grab json formatted data from a webpage. | |
Args: | |
url: string The URL the contents of which the tool will get | |
""" | |
response = requests.get(url) | |
return response.json() | |
def webpage_contents_soup_paragraphs(response_content:bytes)->list: | |
''' | |
This function will find all paragraphs in the response.content from the webpage_contents_get tool | |
Since this can be long, it is best to search this text for more concise summaries to return. | |
Args: | |
response_content: response.content value returned by webpage_contents_get tool. | |
''' | |
soup = BeautifulSoup(response_content, "html.parser") | |
list_ret = list() | |
for paragraph in soup.find_all("p"): | |
ret_t = paragraph.text | |
#print(link.get("href")) | |
list_ret.append(ret_t) | |
return list_ret | |
def webpage_contents_soup_links(response_content:bytes)->list: | |
''' | |
This function will find all links in the response.content from the webpage_contents_get tool | |
Args: | |
response_content: response.content value returned by webpage_contents_get tool. | |
''' | |
soup = BeautifulSoup(response_content, "html.parser") | |
list_ret = list() | |
for link in soup.find_all("a"): | |
ret_t = link.get("href") | |
list_ret.append(ret_t) | |
return list_ret | |
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)}" | |
def summarize_and_answer_from_web(url: str, question:str) -> str: | |
''' | |
A tool which takes a pair of inputs, a website and a question, and finds all relevant information | |
about that question from the website, and return both the summary and the answer. | |
Adjusted the code to only return the answer, to avoid errors in application by the agent. | |
Args: | |
url: a string which says which website to get information from | |
question: a string of text asking for information from that website | |
''' | |
# Get the webpage content | |
webpage_content = webpage_contents_get(url=url) | |
# Get links from the webpage content | |
links = webpage_contents_soup_links(response_content=webpage_content) | |
# Get paragraphs from the webpage content | |
paragraphs = webpage_contents_soup_paragraphs(response_content=webpage_content) | |
# Combine the extracted information into a summary | |
summary = f"Title: {paragraphs[0] if paragraphs else 'No title found'}\\n\\nHeadings:\\n" | |
headings = [para for para in paragraphs if len(para.split()) < 15] # Heuristic for headings | |
if headings: | |
for heading in headings: | |
summary += f"- {heading}\\n" | |
else: | |
summary += "No headings found.\\n" | |
summary += "\\nParagraphs:\\n" | |
for para in paragraphs: | |
summary += f"- {para}\\n" | |
summary += "\\nLinks:\\n" | |
for link in links: | |
summary += f"- {link}\\n" | |
# Answer the question based on the summary | |
# Simple heuristic: check if the question is in any of the paragraphs | |
answer = "No specific answer found." | |
for para in paragraphs: | |
if question.lower() in para.lower(): | |
answer = para | |
break | |
return summary, answer | |
#return answer | |
def tool_visit_webpage(url:str) -> str: | |
''' | |
A tool used to visit a webpage, and return the appropriate information from it | |
Args: | |
url: A string url, the site to be visited | |
''' | |
import re | |
vst = VisitWebpageTool() | |
ret = vst(url) | |
return ret | |
def duckduckgo_search_tool(query:str) -> str: | |
''' | |
A tool used to initialize the ddg search tool, and to return the top 10 finings | |
Args: | |
query: A string to pass to duckduckgo | |
''' | |
ddg = DuckDuckGoSearchTool() | |
ret = ddg(query) | |
return ret | |
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, | |
max_tokens=8000, | |
#max_tokens=256, | |
temperature=0.5, | |
model_id='Qwen/Qwen2.5-Coder-32B-Instruct',# it is possible that this model may be overloaded | |
#model_id='Qwen/Qwen2.5-Coder-1.5B-Instruct',# it is possible that this model may be overloaded | |
#model_id='meta-llama/Llama-3.2-1B-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,webpage_contents_get, | |
webpage_header_get, webpage_contents_soup_links, webpage_contents_soup_paragraphs, | |
summarize_and_answer_from_web, webpage_json_get, tool_visit_webpage, | |
duckduckgo_search_tool], ## 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() |