eliasdabbas

"""
``serp_anthropic`` — run templated web-search queries across a matrix of
models, locations, and web-search tool versions, returning a tidy DataFrame of
ranked citations.

"""

from __future__ import annotations

import itertools

eliasdabbas

# /// script
# requires-python = "<=3.13"
# dependencies = [
#     "chatnificent>=0.0.25",
#     "headroom-ai",
#     "openai>=2.0.0",
# ]
# ///
import chatnificent as chat
from headroom import compress

eliasdabbas

# /// script
# requires-python = ">=3.13"
# dependencies = [
#     "chatnificent[anthropic]>=0.0.23",
# ]
# ///
import chatnificent as chat

welcome_message = """
## Welcome to the AlsoAsked AI assistant!

eliasdabbas

"""
Multi-Page Chatnificent App Example
====================================

This file shows how to create a multi-page app with Chatnificent.
Since Chatnificent is a subclass of Dash, you can use all Dash features
including multi-page apps with the pages/ directory structure.

Directory Structure:
--------------------

eliasdabbas

# /// script
# requires-python = ">=3.13"
# dependencies = [
#     "anthropic>=0.77.0",
#     "chatnificent>=0.0.10",
#     "dash-bootstrap-components>=2.0.4",
# ]
# ///
import chatnificent as chat
from anthropic.types import TextBlock

eliasdabbas

# /// script
# requires-python = ">=3.12"
# dependencies = [
#     "dash",
#     "dash-bootstrap-components",
# ]
# ///

from dash import Dash, html, dcc, Output, Input
import dash_bootstrap_components as dbc

eliasdabbas

import plotly.express as px

fig = px.line(
    stocks,
    x='date',
    template='plotly_white',
    y=stocks.columns[1:],
    color_discrete_sequence=cat_scale,
    labels={'y': 'stock price'},
    height=600,)

eliasdabbas

import plotly.express as px
import adviz
import numpy as np
import pandas as pd

population = pd.read_html('https://en.wikipedia.org/wiki/List_of_countries_and_dependencies_by_population')
pop = population[0][['Location', 'Population']].copy()
flags = []
for country in pop['Location']:
    try:

eliasdabbas

import os
import datetime

import pandas as pd

today = datetime.datetime.now(datetime.UTC).strftime('%Y_%m_%d')

url_status_time = pd.concat(
    pd.read_json(f'/path/to/status_codes/{file}',
    lines=True)

eliasdabbas

import datetime

import advertools as adv

today = datetime.datetime.now(datetime.UTC).strftime("%Y_%m_%d")

sitemap = adv.sitemap_to_df("https://example/sitemap.xml")

adv.crawl_headers(
    sitemap["loc"],