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Update app.py
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app.py
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@@ -3,23 +3,7 @@ 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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import
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from urllib.parse import quote
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from bs4 import BeautifulSoup
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from duckduckgo_search import DDGS
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import random
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from typing import Dict, List
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import time
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from smolagents import ToolCallingAgent, DuckDuckGoSearchTool, load_tool, tool, FinalAnswerTool, OpenAIServerModel, PythonInterpreterTool #, #VisitWebpageTool
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from toolVisitWebpage import visit_webpage
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from tool_fetch_task_file import fetch_task_file
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from tool_read_excel_as_json import read_excel_as_json
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# (Keep Constants as is)
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# --- Constants ---
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@@ -27,82 +11,14 @@ DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
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# --- Basic Agent Definition ---
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# ----- THIS IS WERE YOU CAN BUILD WHAT YOU WANT ------
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model = OpenAIServerModel(
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api_key="fw_3ZSrkw3Qv5eeA1yx65x1eD5H",
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api_base="https://api.fireworks.ai/inference/v1",
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model_id="accounts/fireworks/models/deepseek-v3",
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#temperature = 0.3,
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max_tokens = 4000
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)
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# # #top_p = 1
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USER_AGENTS = [
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"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/115.0.0.0 Safari/537.36",
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"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/115.0.0.0 Safari/537.36",
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"Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:109.0) Gecko/20100101 Firefox/116.0",
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"Mozilla/5.0 (iPhone; CPU iPhone OS 16_6 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/16.6 Mobile/15E148 Safari/604.1",
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"Mozilla/5.0 (Linux; Android 10; SM-A205U) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/115.0.5790.136 Mobile Safari/537.36"
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]
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@tool
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def simple_web_search(query: str, num_results: int = 5) -> str:
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"""Search DuckDuckGo.
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Args:
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query: Search terms.
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num_results: Result count.
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"""
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time.sleep(3)
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try:
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# Validate inputs
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if not query.strip():
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return json.dumps({"error": "Empty query string"})
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num_results = max(1, min(10, num_results)) # Limit to 1-10 results
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# Random delay and User-Agent
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delay = random.uniform(1.0, 3.0)
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user_agent = random.choice(USER_AGENTS)
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time.sleep(delay)
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# Perform search
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with DDGS(headers={"User-Agent": user_agent}) as ddgs:
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results = []
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for result in ddgs.text(query, max_results=num_results):
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results.append({
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'title': result.get('title', 'No title'),
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'link': result.get('href', '#'),
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'snippet': result.get('body', 'No description')
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})
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if len(results) >= num_results:
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break
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if not results:
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return json.dumps({
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"error": "No results found",
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"query": query,
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"user_agent": user_agent
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})
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return json.dumps(results)
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except Exception as e:
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return json.dumps({
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"error": str(e),
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"type": type(e).__name__,
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"query": query,
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"user_agent": user_agent if 'user_agent' in locals() else "Unknown"
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})
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#simple_web_search = simple_web_search()
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class BasicAgent:
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def __init__(self):
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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 agent import run
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# (Keep Constants as is)
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# --- Constants ---
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# --- Basic Agent Definition ---
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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 = run(question)
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print(f"Agent returning fixed answer: {fixed_answer}")
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return fixed_answer
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class BasicAgent:
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def __init__(self):
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