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Build error
Arno' Francesco (GDS DS&G)
commited on
Commit
·
cd6cf69
1
Parent(s):
81917a3
add tools to the agent
Browse files- agent_tools.py +55 -0
- app.py +61 -3
agent_tools.py
ADDED
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@@ -0,0 +1,55 @@
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from smolagents import tool
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import numpy as np
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import time
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import datetime
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import re
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from markdownify import markdownify
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import requests
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from requests.exceptions import RequestException
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@tool
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def calculator_tool(expression: str) -> str:
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"""
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A simple calculator that performs basic arithmetic operations.
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Args:
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expression: The mathematical expression to evaluate (e.g., '2 + 3 * 4').
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"""
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# Remove any non-digit or non-operator characters from the expression
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expression = re.sub(r'[^0-9+\-*/().]', '', expression)
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try:
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# Evaluate the expression using the built-in eval() function
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result = eval(expression)
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return str(result)
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except (SyntaxError, ZeroDivisionError, NameError, TypeError, OverflowError):
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return "Error: Invalid expression"
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@tool
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def visit_webpage(url: str) -> str:
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"""Visits a webpage at the given URL and returns its content as a markdown string.
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Args:
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url: The URL of the webpage to visit.
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Returns:
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The content of the webpage converted to Markdown, or an error message if the request fails.
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"""
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try:
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# Send a GET request to the URL
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response = requests.get(url)
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response.raise_for_status() # Raise an exception for bad status codes
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# Convert the HTML content to Markdown
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markdown_content = markdownify(response.text).strip()
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# Remove multiple line breaks
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markdown_content = re.sub(r"\n{3,}", "\n\n", markdown_content)
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return markdown_content
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except RequestException as e:
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return f"Error fetching the webpage: {str(e)}"
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except Exception as e:
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return f"An unexpected error occurred: {str(e)}"
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app.py
CHANGED
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@@ -3,6 +3,15 @@ import gradio as gr
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import requests
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import inspect
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import pandas as pd
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# (Keep Constants as is)
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# --- Constants ---
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@@ -12,12 +21,61 @@ DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
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# ----- THIS IS WERE YOU CAN BUILD WHAT YOU WANT ------
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class BasicAgent:
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def __init__(self):
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print("BasicAgent initialized.")
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def __call__(self, question: str) -> str:
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print(f"Agent received question (first 50 chars): {question[:50]}...")
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fixed_answer = "This is a default answer."
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print(f"Agent returning fixed answer: {fixed_answer}")
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def run_and_submit_all( profile: gr.OAuthProfile | None):
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"""
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import requests
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import inspect
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import pandas as pd
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from smolagents import CodeAgent, HfApiModel, LiteLLMModel, Tool, DuckDuckGoSearchTool
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from agent_tools import calculator_tool, visit_webpage, check_final_answer
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import numpy as np
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import time
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import datetime
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from smolagents import InferenceClientModel
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# (Keep Constants as is)
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# --- Constants ---
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# ----- THIS IS WERE YOU CAN BUILD WHAT YOU WANT ------
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class BasicAgent:
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def __init__(self):
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print("BasicAgent initialized.")
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# Initialize the Hugging Face model
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model = HfApiModel()
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search_tool = DuckDuckGoSearchTool()
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self.web_agent = CodeAgent(
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tools=[search_tool, visit_webpage],
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model=model,
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max_steps=5,
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name="web_search_agent",
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description="Runs web searches for you.",
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)
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self.manager_agent = CodeAgent(
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tools=[calculator_tool],
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managed_agents=[self.web_agent],
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model=model,
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additional_authorized_imports=["pandas", "re", "requests", "json", "numpy"],
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max_steps=10,
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verbosity_level=2,
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planning_interval=5,
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add_base_tools=True,
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final_answer_checks=[self.check_final_answer]
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)
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@staticmethod
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def check_final_answer(final_answer, agent_memory):
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prompt = f"""Here is a user-given task and the agent steps: {agent_memory.get_succinct_steps()}. \
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Report your thoughts, and finish your answer with the following template:
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FINAL ANSWER: [YOUR FINAL ANSWER].
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YOUR FINAL ANSWER should be a number OR as few words as possible OR a comma separated list of numbers and/or strings.
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If you are asked for a number, don't use comma to write your number neither use units such as $ or percent sign \
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unless specified otherwise. If you are asked for a string, don't use articles, neither abbreviations (e.g. for cities), \
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and write the digits in plain text unless specified otherwise. If you are asked for a comma separated list,\
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apply the above rules depending of whether the element to be put in the list is a number or a string.
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"""
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messages = [
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{
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"role": "user",
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"content": prompt
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}
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]
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model = InferenceClientModel()
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response = model(messages=messages)
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return response
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def __call__(self, question: str) -> str:
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print(f"Agent received question (first 50 chars): {question[:50]}...")
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#fixed_answer = "This is a default answer."
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#print(f"Agent returning fixed answer: {fixed_answer}")
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answer = self.manager_agent.run(question)
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return answer
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def run_and_submit_all( profile: gr.OAuthProfile | None):
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"""
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