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from fasthtml.common import *
from pathlib import Path
from datetime import datetime
from starlette.responses import RedirectResponse, FileResponse
from starlette.requests import Request
import json
import numpy as np
from sklearn.metrics.pairwise import cosine_similarity
from fasthtml_hf import setup_hf_backup
# Load projects from JSON file
with open('data/projects.json', 'r') as f:
projects = json.load(f)
# Load summaries and abstracts
with open("data/acr/2024/summaries.json") as f:
summaries = json.loads(f.read())
with open("data/acr/2024/abstracts.jsonl", "r") as f:
abstracts = [json.loads(line) for line in f]
for abstract in abstracts:
abstract['abstract'] = abstract['abstract'].replace("## Background/Purpose\n", "Background/Purpose\n")
abstract['abstract'] = abstract['abstract'].replace("## Methods\n", "Methods\n")
# Load embeddings
embeddings = np.load('data/acr/2024/embeddings.npy')
# Associate embeddings with abstracts
for abstract, embedding in zip(abstracts, embeddings):
abstract['embedding'] = embedding
# Setup app with headers
hdrs = (
picolink,
StyleX("static/css/style.css"),
MarkdownJS(),
HighlightJS(langs=['python', 'javascript', 'html', 'css'])
)
app = FastHTML(hdrs=hdrs)
def get_posts():
posts = []
for path in Path("posts").glob("*.md"):
with open(path, 'r') as f:
title = f.readline().strip()
date = datetime.fromtimestamp(path.stat().st_mtime)
posts.append({"title": title, "date": date, "path": path})
return sorted(posts, key=lambda x: x['date'], reverse=True)
def nav_menu(current_page="home"):
return Nav(
A("Home", href="/", cls="active" if current_page == "home" else ""),
A("Blog", href="/blog", cls="active" if current_page == "blog" else ""),
A("Projects", href="/projects", cls="active" if current_page == "projects" else ""),
A("ACR24", href="/acr24", cls="active" if current_page == "acr24" else ""),
)
# Routes
@app.get("/")
def home():
content = Main(
nav_menu("home"),
Div(
Img(src="media/me.jpeg", alt="Profile Photo"),
H1("Dr. Chris McMaster"),
P("Rheumatologist and Data Scientist"),
P("Using AI to improve healthcare"),
cls="profile"
),
cls="container"
)
return Title("RheumAI"), content
@app.get("/blog")
def blog():
posts = get_posts()
content = Main(
nav_menu("blog"),
Div(
H1("Blog Posts"),
*[Div(
H2(A(post['title'], href=f"/post/{post['path'].stem}")),
P(post['date'].strftime('%Y-%m-%d'), cls="date"),
cls="blog-post"
) for post in posts],
cls="container"
)
)
return Title("Blog - RheumAI"), content
@app.get("/projects")
def projects_page():
content = Main(
nav_menu("projects"),
Div(
H1("Projects"),
*[Div(
H2(project["name"]),
P(project["description"]),
A("Visit Project", href=project["external_link"], cls="button"),
cls="blog-post"
) for project in projects],
cls="container"
)
)
return Title("Projects - RheumAI"), content
# Static file handlers
app.mount("/static", StaticFiles(directory="static"), name="static")
app.mount("/media", StaticFiles(directory="media"), name="media")
app.mount("/posts/images", StaticFiles(directory="posts/images"), name="post_images")
app.mount("/data/acr/2024", StaticFiles(directory="data/acr/2024"), name="acr24_data")
@app.get("/post/{slug}")
def post(slug: str):
path = Path(f"posts/{slug}.md")
if not path.exists():
return "Post not found", 404
with open(path, 'r') as f:
title = f.readline().strip()
content = f.read()
# Fix image paths - replace both relative and absolute paths
content = content.replace('](images/', '](/posts/images/')
content = content.replace('](/images/', '](/posts/images/')
# Add styling for blog post images
img_style = Style("""
.blog-post img {
max-width: 100%;
height: auto;
margin: 1em 0;
}
.blog-post .marked {
overflow-x: auto;
}
""")
# Find the current abstract
current_abstract = next((a for a in abstracts if a['slug'] == slug), None)
if not current_abstract:
return "Abstract not found", 404
# Add a button to find similar abstracts
similar_button = Button("Find Similar Abstracts",
hx_get=f"/acr24/similar/{slug}",
hx_target="#similar-abstracts",
cls="button")
content = content.replace('</div>', f'\n<div id="similar-abstracts"></div>\n{similar_button}</div>')
return Title(title), (
img_style,
Main(
nav_menu("blog"),
Div(
H1(title),
Div(content, cls="marked"),
cls="blog-post container"
)
)
)
@app.get("/favicon.ico")
def favicon():
return FileResponse("static/favicon.ico")
@app.get("/acr24")
def acr24():
# Load the summaries from JSON file
with open("data/acr/2024/summaries.json") as f:
summaries = json.loads(f.read())
# Create the title and header
title = Title("ACR 2024")
header = H1("ACR 2024")
# Create tabs with data-tab attributes
tabs = Nav(
Ul(
Li(A("AI Summaries", href="#", data_tab="summaries", cls="active")),
Li(A("Search", href="#", data_tab="search")),
Li(A("Embeddings", href="#", data_tab="embeddings")),
cls="tabs",
style="margin-bottom: 0"
)
)
# Add PDF download link to summaries section
summaries_section = Section(
H2("AI-Generated Topic Summaries"),
A("Download as PDF", href="data/acr/2024/summaries.pdf", cls="button", style="margin-bottom: 1rem"),
Div(*[
Article(
H3(topic),
Div(summary, cls="marked"),
cls="summary-card"
) for topic, summary in summaries.items()
]),
id="summaries",
data_section="summaries",
cls="active"
)
search_section = Section(
H2("Search Abstracts"),
Form(
Input(
type="search",
name="q",
placeholder="Search abstracts...",
hx_post="/acr24/search",
hx_trigger="keyup changed delay:500ms",
hx_target="#search-results"
),
cls="search-form"
),
Div(id="search-results"),
id="search",
data_section="search"
)
# Add CSS for tab functionality
style = Style("""
.tabs {
margin-bottom: 2rem;
list-style: none;
padding: 0;
}
.tabs li {
display: inline-block;
margin-right: 1rem;
}
.tabs a {
display: inline-block;
padding: 0.5rem 1rem;
text-decoration: none;
border: 1px solid transparent;
border-bottom: none;
margin-bottom: -1px;
}
[data-section] {
display: none;
}
[data-section].active {
display: block;
}
""")
# Update JavaScript to toggle section visibility using classes
script = Script("""
document.addEventListener('DOMContentLoaded', function() {
const tabLinks = document.querySelectorAll('a[data-tab]');
const sections = document.querySelectorAll('[data-section]');
function switchTab(targetTab) {
// Update active tab
tabLinks.forEach(link => {
link.classList.remove('active');
if (link.dataset.tab === targetTab) {
link.classList.add('active');
}
});
// Show/hide sections using classes
sections.forEach(section => {
section.classList.remove('active');
if (section.dataset.section === targetTab) {
section.classList.add('active');
}
});
}
// Add click handlers to tab links
tabLinks.forEach(link => {
link.addEventListener('click', (e) => {
e.preventDefault();
switchTab(link.dataset.tab);
});
});
// Set initial active tab
switchTab('summaries');
});
""")
# Add embeddings section
embeddings_section = Section(
H2("Embeddings Plot"),
A(Img(src="/data/acr/2024/embeddings.png", alt="Embeddings TSNE Plot"),
href="/data/acr/2024/embeddings.png"),
id="embeddings",
data_section="embeddings"
)
content = Main(
nav_menu("acr24"),
Container(
title,
header,
tabs,
summaries_section,
search_section,
embeddings_section, # Add the new section
style,
script
)
)
return Title("ACR 2024 - RheumAI"), content
@app.post("/acr24/search")
def search(request: Request, q: str = Form(...)):
"""Handle abstract search requests"""
if not q:
return Div("Enter search terms above")
# Convert search query to lowercase for case-insensitive matching
q = q.lower()
# Search through abstracts and find matches
matches = []
for abstract in abstracts:
# Check if query matches in title or content
if (q in abstract.get('title', '').lower() or
q in abstract.get('abstract', '').lower()):
matches.append(abstract)
# If no results found
if not matches:
return Div(P("No matching abstracts found"))
# Create view toggle buttons
toggle_buttons = Div(
Button("Show First 10",
hx_post=f"/acr24/search?q={q}&limit=10",
hx_target="#search-results",
cls="active"),
Button("Show All",
hx_post=f"/acr24/search?q={q}&limit=all",
hx_target="#search-results"),
cls="view-toggle"
)
# Get limit from query params, default to 10
limit = request.query_params.get('limit', '10')
results_to_show = matches if limit == 'all' else matches[:10]
# Add modal container if it doesn't exist
modal_html = Div(
Div(
Button("×", cls="modal-close", onclick="closeModal()"),
Div(id="modal-content"),
cls="modal"
),
id="modal-overlay",
cls="modal-overlay",
)
# Add JavaScript for modal functionality
modal_script = Script("""
function showModal(abstractNumber) {
fetch(`/acr24/similar/${abstractNumber}`)
.then(response => response.text())
.then(html => {
document.getElementById('modal-content').innerHTML = html;
document.getElementById('modal-overlay').style.display = 'block';
});
}
function closeModal() {
document.getElementById('modal-overlay').style.display = 'none';
}
// Close modal when clicking outside
document.getElementById('modal-overlay').addEventListener('click', function(e) {
if (e.target === this) {
closeModal();
}
});
""")
# Return formatted results with Find Similar button for each result
return Div(
modal_html,
modal_script,
toggle_buttons,
P(f"Found {len(matches)} matching abstracts:"),
*[Article(
H5(A(abstract['title'], href=abstract['link'])),
P(abstract.get('abstract', '')[:300] + "..."),
Button("Find Similar",
onclick=f"showModal('{abstract['abstract_number']}')",
cls="button similar-button"),
cls="abstract-result"
) for abstract in results_to_show]
)
# Add some CSS for the toggle buttons
style = Style("""
.view-toggle {
margin-bottom: 1rem;
}
.view-toggle button {
margin-right: 0.5rem;
}
.view-toggle button.active {
background: #4a5568;
color: white;
}
""")
# Routes for specific resources
@app.get("/{project_name}")
def project(project_name: str):
project = next((p for p in projects if p["internal_link"] == project_name), None)
if project:
return RedirectResponse(url=project["external_link"])
else:
return "Project not found", 404
@app.get("/acr24/similar/{abstract_number}")
def find_similar(abstract_number: str):
# Find the current abstract
current_abstract = next((a for a in abstracts if a['abstract_number'] == abstract_number), None)
if not current_abstract:
return Div("Abstract not found", cls="error")
current_embedding = current_abstract['embedding'].reshape(1, -1)
# Compute cosine similarity between the current abstract and all others
similarities = cosine_similarity(current_embedding, embeddings)[0]
# Get top 5 similar abstracts excluding itself
similar_indices = similarities.argsort()[::-1][1:6]
similar_abstracts = [abstracts[i] for i in similar_indices]
# Create a list of similar abstracts
return Div(
H2("Similar Abstracts"),
Ul(
*[
Li(
H3(A(abstract['title'], href=abstract['link'])),
P(f"Topic: {abstract['topic']}"),
Div(abstract.get('abstract', '')[:200] + "...", cls="marked"),
cls="similar-abstract"
) for abstract in similar_abstracts
],
cls="similar-list"
)
)
setup_hf_backup(app)
if __name__ == "__main__":
serve()
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