diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..ac4db18 --- /dev/null +++ b/.gitignore @@ -0,0 +1,8 @@ +venv/ +.venv/ +__pycache__/ +*.pyc +.env +temp/ +chroma_db/ +node_modules/ \ No newline at end of file diff --git a/README.md b/README.md index 04caa50..0deb15a 100644 --- a/README.md +++ b/README.md @@ -1,2 +1,113 @@ -# scholarai -AI-powered research assistant designed to help students and scientists navigate large volumes of academic literature. Supports paper discovery, summarization, citation exploration, and question answering across research papers. Helps organize knowledge, identify trends, and accelerate literature review workflows. +# ScholarAI + +Open-source AI-powered research assistant by Alpha One Labs. +Ask research questions, summarise papers, discover literature, and generate reviews — +all powered by **Cloudflare Workers AI** (`@cf/meta/llama-3.1-8b-instruct`). + +--- + +## Project Structure + +``` +scholarai/ +├── src/ +│ └── worker.py # Single Python Worker — routing + AI logic +├── static/ +│ └── index.html # Full frontend (HTML/CSS/JS, no build step) +├── wrangler.jsonc # Cloudflare Workers config +├── package.json # npm scripts for Wrangler CLI +└── README.md +``` + +--- + +## Quick Start + +### Prerequisites + +- [Node.js](https://nodejs.org/) ≥ 18 +- A free [Cloudflare account](https://dash.cloudflare.com/sign-up) + +### 1. Install Wrangler + +```bash +npm install +npx wrangler login +``` + +### 2. Run locally + +```bash +npm run dev +``` + +Opens at `http://localhost:8787`. + +### 3. Deploy + +```bash +npm run deploy +``` + +--- + +## API Endpoints + +| Method | Endpoint | Description | +|--------|-----------------|-------------------------------| +| GET | `/` | Serves the frontend HTML | +| GET | `/api/health` | Health check | +| POST | `/api/ask` | Ask a research question | +| POST | `/api/summarize`| Summarise a paper | +| POST | `/api/discover` | Discover relevant papers | +| POST | `/api/review` | Generate a literature review | + +### `POST /api/ask` + +```json +{ "question": "What is transfer learning?", "context": "(optional excerpt)" } +``` + +### `POST /api/summarize` + +```json +{ "title": "...", "abstract": "...", "content": "..." } +``` + +At least one field required. + +### `POST /api/discover` + +```json +{ "query": "graph neural networks", "fields": ["ML", "biology"], "limit": 10 } +``` + +### `POST /api/review` + +```json +{ "topic": "self-supervised learning", "style": "comprehensive", "audience": "researchers" } +``` + +`style` options: `comprehensive`, `brief`, `systematic` + +--- + +## Contributing + +1. Fork the repo +2. Create a branch: `git checkout -b feat/your-change` +3. Commit and open a Pull Request with a clear description + +Please open an issue first for large changes. + +--- + +## License + +See [LICENSE](LICENSE). + +--- + +## Maintained by + +**Alpha One Labs** — open-source AI tooling for practical research workflows. \ No newline at end of file diff --git a/package-lock.json b/package-lock.json new file mode 100644 index 0000000..cc920a8 --- /dev/null +++ b/package-lock.json @@ -0,0 +1,1504 @@ +{ + "name": "scholarai", + "version": "1.0.0", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "name": "scholarai", + "version": "1.0.0", + "devDependencies": { + "wrangler": "^4.0.0" + } + }, + "node_modules/@cloudflare/kv-asset-handler": { + "version": "0.4.2", + "resolved": "https://registry.npmjs.org/@cloudflare/kv-asset-handler/-/kv-asset-handler-0.4.2.tgz", + "integrity": "sha512-SIOD2DxrRRwQ+jgzlXCqoEFiKOFqaPjhnNTGKXSRLvp1HiOvapLaFG2kEr9dYQTYe8rKrd9uvDUzmAITeNyaHQ==", + "dev": true, + "license": "MIT OR Apache-2.0", + 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b/src/worker.py new file mode 100644 index 0000000..30e2716 --- /dev/null +++ b/src/worker.py @@ -0,0 +1,274 @@ +""" +ScholarAI - Cloudflare Python Worker +Correct entrypoint: WorkerEntrypoint class with async fetch() method. +Uses JS interop (from js import ...) for Response, Headers, URL. +""" + +import json +from js import Response, Headers, URL +from pyodide.ffi import to_js +from workers import WorkerEntrypoint + + +# --------------------------------------------------------------------------- +# Config +# --------------------------------------------------------------------------- +AI_MODEL = "@cf/meta/llama-3.1-8b-instruct" +MAX_TOKENS = 1024 + + +# --------------------------------------------------------------------------- +# Response helpers +# --------------------------------------------------------------------------- + +def _headers(content_type: str = "application/json") -> Headers: + h = Headers.new() + h.set("Content-Type", content_type) + h.set("Access-Control-Allow-Origin", "*") + h.set("Access-Control-Allow-Methods", "GET, POST, OPTIONS") + h.set("Access-Control-Allow-Headers", "Content-Type") + return h + + +def json_resp(data: dict, status: int = 200) -> Response: + return Response.new( + json.dumps(data), + to_js({"status": status, "headers": {"Content-Type": "application/json", + "Access-Control-Allow-Origin": "*"}}), + ) + + +def error_resp(message: str, status: int = 400) -> Response: + return json_resp({"ok": False, "error": message}, status) + + +def html_resp(html: str) -> Response: + return Response.new( + html, + to_js({"status": 200, "headers": {"Content-Type": "text/html; charset=utf-8"}}), + ) + + +def cors_resp() -> Response: + return Response.new( + "", + to_js({ + "status": 204, + "headers": { + "Access-Control-Allow-Origin": "*", + "Access-Control-Allow-Methods": "GET, POST, OPTIONS", + "Access-Control-Allow-Headers": "Content-Type", + }, + }), + ) + + +# --------------------------------------------------------------------------- +# AI helper +# --------------------------------------------------------------------------- + +async def run_ai(env, system_prompt: str, user_prompt: str) -> str: + payload = to_js({ + "messages": [ + {"role": "system", "content": system_prompt}, + {"role": "user", "content": user_prompt}, + ], + "max_tokens": MAX_TOKENS, + }) + result = await env.AI.run(AI_MODEL, payload) + text = getattr(result, "response", None) + if text is None: + text = str(result) + return text.strip() + + +# --------------------------------------------------------------------------- +# Body parser +# --------------------------------------------------------------------------- + +async def parse_body(request) -> dict: + try: + text = await request.text() + return json.loads(text) if text else {} + except Exception: + return {} + + +# --------------------------------------------------------------------------- +# HTML — served via ASSETS binding +# --------------------------------------------------------------------------- + +_HTML_CACHE: str | None = None + + +async def get_html(env) -> str: + global _HTML_CACHE + if _HTML_CACHE: + return _HTML_CACHE + try: + resp = await env.ASSETS.fetch("http://assets/index.html") + _HTML_CACHE = await resp.text() + return _HTML_CACHE + except Exception as e: + return ( + "" + "

ScholarAI

" + f"

Frontend load error: {e}

" + "" + ) + + +# --------------------------------------------------------------------------- +# Route handlers +# --------------------------------------------------------------------------- + +async def handle_health(request, env) -> Response: + return json_resp({"ok": True, "service": "scholarai", "model": AI_MODEL}) + + +async def handle_ask(request, env) -> Response: + body = await parse_body(request) + question = str(body.get("question") or "").strip() + context = str(body.get("context") or "").strip() + + if not question: + return error_resp("'question' is required.") + + system_prompt = ( + "You are ScholarAI, an expert academic research assistant. " + "Answer research questions clearly and accurately. " + "If paper context is provided, base your answer on it. " + "If unsure, say so rather than guessing." + ) + ctx_block = f"\n\nContext from uploaded paper:\n{context[:10000]}" if context else "" + user_prompt = f"Question: {question}{ctx_block}" + + try: + answer = await run_ai(env, system_prompt, user_prompt) + return json_resp({"ok": True, "answer": answer}) + except Exception as e: + return error_resp(f"AI error: {e}", 500) + + +async def handle_summarize(request, env) -> Response: + body = await parse_body(request) + title = str(body.get("title") or "").strip() + abstract = str(body.get("abstract") or "").strip() + content = str(body.get("content") or "").strip() + + if not (title or abstract or content): + return error_resp("At least one of 'title', 'abstract', or 'content' is required.") + + parts = [] + if title: parts.append(f"Title: {title}") + if abstract: parts.append(f"Abstract: {abstract}") + if content: parts.append(f"Content:\n{content[:10000]}") + + system_prompt = ( + "You are ScholarAI, an expert at summarising research papers. " + "Produce a structured summary: main contribution, problem, " + "methodology, key findings, and significance." + ) + user_prompt = "Summarise this paper:\n\n" + "\n\n".join(parts) + + try: + summary = await run_ai(env, system_prompt, user_prompt) + return json_resp({"ok": True, "title": title, "summary": summary}) + except Exception as e: + return error_resp(f"AI error: {e}", 500) + + +async def handle_discover(request, env) -> Response: + body = await parse_body(request) + query = str(body.get("query") or "").strip() + fields = body.get("fields") or [] + limit = int(body.get("limit") or 10) + + if not query: + return error_resp("'query' is required.") + + field_ctx = f" in the fields of {', '.join(fields)}" if fields else "" + system_prompt = ( + "You are ScholarAI, an expert academic research assistant. " + "Suggest relevant papers, key concepts, and research directions." + ) + user_prompt = ( + f"Suggest up to {limit} relevant academic papers{field_ctx} for:\n\n" + f"Query: {query}\n\n" + "For each paper: title, likely authors/year, one-line relevance. " + "Then list 3-5 key concepts and 2-3 related queries." + ) + + try: + results = await run_ai(env, system_prompt, user_prompt) + return json_resp({"ok": True, "query": query, "results": results}) + except Exception as e: + return error_resp(f"AI error: {e}", 500) + + +async def handle_review(request, env) -> Response: + body = await parse_body(request) + topic = str(body.get("topic") or "").strip() + style = str(body.get("style") or "comprehensive").strip() + audience = str(body.get("audience") or "researchers").strip() + context = str(body.get("context") or "").strip() + + if not topic: + return error_resp("'topic' is required.") + + ctx_block = f"\n\nPaper content for reference:\n{context[:10000]}" if context else "" + system_prompt = ( + "You are ScholarAI, an expert at writing academic literature reviews. " + "Generate well-structured, rigorous literature reviews." + ) + user_prompt = ( + f"Write a {style} literature review on '{topic}' for {audience}.{ctx_block}\n\n" + "Structure: Introduction, Background, State of the Art, " + "Key Methodologies, Major Findings, Open Challenges, Future Directions." + ) + + try: + review = await run_ai(env, system_prompt, user_prompt) + return json_resp({"ok": True, "topic": topic, "style": style, "review": review}) + except Exception as e: + return error_resp(f"AI error: {e}", 500) + + +# --------------------------------------------------------------------------- +# Router table +# --------------------------------------------------------------------------- + +ROUTES = { + "GET /api/health": handle_health, + "POST /api/ask": handle_ask, + "POST /api/summarize": handle_summarize, + "POST /api/discover": handle_discover, + "POST /api/review": handle_review, +} + + +# --------------------------------------------------------------------------- +# Entrypoint — MUST be a WorkerEntrypoint subclass with async fetch() +# Cloudflare Python Workers require this exact pattern. +# --------------------------------------------------------------------------- + +class Default(WorkerEntrypoint): + + async def fetch(self, request) -> Response: + method = request.method.upper() + path = URL.new(str(request.url)).pathname + + # CORS preflight + if method == "OPTIONS": + return cors_resp() + + # Serve HTML for root path + if method == "GET" and path in ("/", "/index.html"): + return html_resp(await get_html(self.env)) + + # API routes + handler = ROUTES.get(f"{method} {path}") + if handler is None: + return error_resp(f"Not found: {method} {path}", 404) + + return await handler(request, self.env) \ No newline at end of file diff --git a/static/images/logo.png b/static/images/logo.png new file mode 100755 index 0000000..29d0cbf Binary files /dev/null and b/static/images/logo.png differ diff --git a/static/index.html b/static/index.html new file mode 100644 index 0000000..a00fddb --- /dev/null +++ b/static/index.html @@ -0,0 +1,564 @@ + + + + + + ScholarAI | Alpha One Labs + + + + + + + + + + + + + +
+ + +
+

Open Source · Privacy-First · Cloudflare Workers AI

+

ScholarAI

+

+ An open-source research assistant by Alpha One Labs. Ask research questions, summarise papers, discover literature — powered by Cloudflare Workers AI. +

+
+ Open Workspace → + How to Use +
+
+ + +
+
+ Workspace +

Research Assistant

+ + +
+
+
+
📄
+
+
Upload your research paper
+
+ PDF is read locally in your browser — nothing is uploaded to any server +
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+
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+ + + +
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+ + + + + +
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+ + +
+ + + + +
+ + +
+

Ask a Research Question

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+
Answer
+ 
No answer yet.
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+
+ + +
+

Summarise a Paper

+ + + + + + + +
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Summary
+ 
No summary yet.
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+ + +
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Discover Papers

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Results
+ 
No results yet.
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+
+ + +
+

Generate a Literature Review

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+ +
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+
Literature Review
+ 
No review yet.
+
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+ +
+
+ + +
+
+ Guide +

How to Use ScholarAI

+
+

Upload your PDF research paper using the panel above the tabs — it stays in your browser, nothing is sent to a server.

+

The text is extracted automatically. It will be injected as context into Ask, Summarise, and Review.

+

Pick a tool tab: Ask a question, Summarise, Discover new papers, or Generate a Review.

+

Hit the action button — the AI responds in seconds using your paper as context.

+

All processing is stateless — no data is stored between sessions.

+
+
+
+ +
+ + + + + + + + + \ No newline at end of file diff --git a/static/style.css b/static/style.css new file mode 100644 index 0000000..335c5ef --- /dev/null +++ b/static/style.css @@ -0,0 +1,566 @@ + /* ── Reset & Root ─────────────────────────────────────────── */ + *, *::before, *::after { box-sizing: border-box; } + html { scroll-behavior: smooth; } + + :root { + --bg: #0b1220; + --bg-soft: #101a2f; + --panel: rgba(15, 23, 42, 0.78); + --panel-border: rgba(148, 163, 184, 0.16); + --text: #e5e7eb; + --muted: #9fb0c6; + --input-bg: #0f172a; + --input-border: #334155; + --primary: #3b82f6; + --primary-h: #2563eb; + --accent: #14b8a6; + --danger: #dc2626; + --danger-h: #b91c1c; + --success: #22c55e; + --section-max: 860px; + --nav-h: 62px; + } + + body { + margin: 0; + font-family: 'Sora', sans-serif; + color: var(--text); + background: + radial-gradient(circle at 0% 0%, rgba(20,184,166,.16), transparent 35%), + radial-gradient(circle at 100% 0%, rgba(249,115,22,.14), transparent 30%), + var(--bg); + min-height: 100vh; + } + + /* ── Utilities ────────────────────────────────────────────── */ + .hidden { display: none !important; } + .w-full { width: 100%; } + .m-0 { margin: 0; } + + /* ── Navbar ───────────────────────────────────────────────── */ + .navbar { + position: fixed; + inset: 0 0 auto 0; + z-index: 50; + height: var(--nav-h); + display: flex; + align-items: center; + justify-content: space-between; + padding: 0 28px; + background: rgba(11,18,32,.88); + backdrop-filter: blur(14px); + border-bottom: 1px solid var(--panel-border); + } + + .logo-pill { + display: inline-flex; + align-items: center; + gap: 10px; + text-decoration: none; + } + + .logo-img { + width: 34px; height: 34px; + border-radius: 8px; + object-fit: contain; + } + + .brand-text { + color: #f8fafc; + font-weight: 700; + font-size: .95rem; + } + + .nav-links { + display: flex; + align-items: center; + gap: 2px; + } + + .nav-links a { + color: var(--muted); + text-decoration: none; + font-size: .85rem; + font-weight: 500; + padding: 6px 11px; + border-radius: 7px; + transition: color .15s, background .15s; + } + + .nav-links a:hover { color: #f8fafc; background: rgba(255,255,255,.06); } + + .nav-cta { + background: var(--primary) !important; + color: #fff !important; + margin-left: 6px; + } + + .nav-cta:hover { background: var(--primary-h) !important; } + + .menu-btn { + display: none; + border: 1px solid var(--panel-border); + background: rgba(255,255,255,.05); + color: #f8fafc; + border-radius: 8px; + padding: 7px 13px; + cursor: pointer; + font-size: 1rem; + } + + .mobile-menu { + position: fixed; + right: 16px; + top: calc(var(--nav-h) + 8px); + z-index: 60; + width: 200px; + border-radius: 12px; + border: 1px solid var(--panel-border); + background: rgba(11,18,32,.97); + box-shadow: 0 16px 32px rgba(2,6,23,.5); + padding: 8px; + } + + .mobile-menu a { + display: block; + color: #dbe6f5; + text-decoration: none; + padding: 10px 12px; + border-radius: 8px; + font-size: .9rem; + } + + .mobile-menu a:hover { background: #18233b; } + + /* ── Page wrapper ─────────────────────────────────────────── */ + .page { padding-top: var(--nav-h); } + + /* ── Section shared ───────────────────────────────────────── */ + .section-wrap { + width: min(var(--section-max), calc(100% - 40px)); + margin: 0 auto; + padding: 80px 0; + } + + .section-label { + display: inline-block; + font-size: .72rem; + font-weight: 700; + letter-spacing: .8px; + text-transform: uppercase; + color: var(--accent); + margin-bottom: 8px; + } + + .section-title { + font-size: clamp(1.4rem, 3vw, 1.9rem); + font-weight: 700; + color: #f8fafc; + margin: 0 0 28px; + letter-spacing: -.3px; + } + + /* ── Hero ─────────────────────────────────────────────────── */ + .hero { + min-height: calc(100vh - var(--nav-h)); + display: flex; + flex-direction: column; + justify-content: center; + align-items: center; + text-align: center; + padding: 60px 24px; + } + + .hero-chip { + display: inline-flex; + align-items: center; + gap: 6px; + padding: 5px 14px; + border-radius: 999px; + font-size: .75rem; + font-weight: 600; + letter-spacing: .5px; + text-transform: uppercase; + border: 1px solid rgba(20,184,166,.35); + background: rgba(20,184,166,.07); + color: var(--accent); + margin-bottom: 20px; + } + + .hero h1 { + margin: 0 0 18px; + font-size: clamp(2.6rem, 7vw, 4.2rem); + font-weight: 700; + color: #f8fafc; + line-height: 1.08; + letter-spacing: -1.5px; + } + + .hero h1 span { + background: linear-gradient(90deg, #3b82f6 30%, #14b8a6); + -webkit-background-clip: text; + -webkit-text-fill-color: transparent; + } + + .hero-desc { + max-width: 560px; + margin: 0 auto 36px; + color: var(--muted); + font-size: 1.05rem; + line-height: 1.75; + } + + .hero-actions { + display: flex; + gap: 12px; + flex-wrap: wrap; + justify-content: center; + } + + /* ── Buttons ──────────────────────────────────────────────── */ + .btn { + display: inline-block; + padding: 10px 22px; + border: none; + border-radius: 8px; + background: var(--primary); + color: #fff; + font: 600 .9rem/1 'Sora', sans-serif; + cursor: pointer; + text-decoration: none; + transition: background .15s, transform .1s, opacity .15s; + } + + .btn:hover { background: var(--primary-h); transform: translateY(-1px); } + .btn:active { transform: none; } + .btn:disabled { opacity: .55; cursor: not-allowed; transform: none; } + + .btn-ghost { + background: transparent; + border: 1px solid var(--panel-border); + color: #dbe6f5; + } + + .btn-ghost:hover { background: rgba(255,255,255,.06); } + + .btn-danger { background: var(--danger); } + .btn-danger:hover { background: var(--danger-h); } + + /* ── Cards ────────────────────────────────────────────────── */ + .card { + background: var(--panel); + border: 1px solid var(--panel-border); + border-radius: 14px; + padding: 22px; + box-shadow: 0 8px 24px rgba(2,6,23,.28); + } + + .card-title { + margin: 0 0 16px; + font-size: .88rem; + font-weight: 700; + color: #f8fafc; + text-transform: uppercase; + letter-spacing: .5px; + display: flex; + align-items: center; + gap: 8px; + } + + .card-title::before { + content: ''; + display: block; + width: 3px; height: 15px; + border-radius: 2px; + background: var(--primary); + flex-shrink: 0; + } + + /* ── Inputs ───────────────────────────────────────────────── */ + .input, textarea, input[type="text"] { + width: 100%; + padding: 10px 12px; + border: 1px solid var(--input-border); + border-radius: 8px; + font: .9rem/1.5 'Sora', sans-serif; + color: #e2e8f0; + background: var(--input-bg); + margin-bottom: 12px; + outline: none; + transition: border-color .15s; + display: block; + resize: vertical; + } + + .input:focus, textarea:focus { border-color: var(--primary); } + + /* ── Tab system ───────────────────────────────────────────── */ + .tab-bar { + display: flex; + gap: 4px; + margin-bottom: 20px; + border-bottom: 1px solid var(--panel-border); + padding-bottom: 0; + } + + .tab-btn { + padding: 8px 16px; + border: none; + background: transparent; + color: var(--muted); + font: 600 .82rem/1 'Sora', sans-serif; + cursor: pointer; + border-bottom: 2px solid transparent; + margin-bottom: -1px; + border-radius: 6px 6px 0 0; + transition: color .15s, border-color .15s; + letter-spacing: .3px; + text-transform: uppercase; + } + + .tab-btn:hover { color: #f8fafc; } + .tab-btn.active { color: var(--primary); border-bottom-color: var(--primary); } + + .tab-panel { display: none; } + .tab-panel.active { display: block; } + + /* ── Ask tab ──────────────────────────────────────────────── */ + #answerBox { + white-space: pre-wrap; + background: #020617; + padding: 16px; + border-radius: 10px; + border: 1px solid #1e293b; + min-height: 130px; + color: #e2e8f0; + font: .88rem/1.65 'JetBrains Mono', monospace; + margin: 0; + } + + /* ── Status bar ───────────────────────────────────────────── */ + .status-bar { + margin-top: 10px; + font-size: .83rem; + min-height: 20px; + color: #64748b; + } + + .status-bar.ok { color: var(--success); } + .status-bar.err { color: #f87171; } + .status-bar.inf { color: #60a5fa; } + + /* ── Workspace meta row ───────────────────────────────────── */ + .meta-row { + display: flex; + align-items: center; + justify-content: space-between; + gap: 10px; + flex-wrap: wrap; + padding: 12px 16px; + border-radius: 10px; + background: rgba(255,255,255,.025); + border: 1px solid var(--panel-border); + margin-bottom: 20px; + } + + .meta-row p { margin: 0; color: var(--muted); font-size: .84rem; } + + /* ── How-to steps ─────────────────────────────────────────── */ + #how-to { border-top: 1px solid var(--panel-border); } + + .how-steps { + display: grid; + grid-template-columns: repeat(auto-fit, minmax(210px, 1fr)); + gap: 14px; + counter-reset: steps; + } + + .how-step { + counter-increment: steps; + padding: 20px; + border-radius: 12px; + border: 1px solid var(--panel-border); + background: rgba(255,255,255,.02); + } + + .how-step::before { + content: counter(steps, decimal-leading-zero); + display: block; + font: 700 1.5rem/1 'JetBrains Mono', monospace; + color: var(--primary); + opacity: .65; + margin-bottom: 10px; + } + + .how-step p { margin: 0; color: #cbd5e1; font-size: .88rem; line-height: 1.6; } + + /* ── Footer ───────────────────────────────────────────────── */ + .site-footer { + border-top: 1px solid var(--panel-border); + background: rgba(11,18,32,.9); + } + + .footer-inner { + width: min(var(--section-max), calc(100% - 40px)); + margin: 0 auto; + padding: 48px 0 32px; + display: grid; + grid-template-columns: 1fr auto; + gap: 40px; + align-items: start; + } + + .footer-brand .brand-text { display: block; margin-bottom: 8px; font-size: 1rem; } + .footer-brand p { margin: 0; color: var(--muted); font-size: .84rem; line-height: 1.6; max-width: 280px; } + + .footer-nav-label { + font-size: .7rem; + font-weight: 700; + letter-spacing: .7px; + text-transform: uppercase; + color: var(--muted); + margin: 0 0 8px; + } + + .footer-nav { display: flex; flex-direction: column; gap: 6px; } + + .footer-link { color: #94a3b8; text-decoration: none; font-size: .86rem; transition: color .15s; } + .footer-link:hover { color: var(--accent); } + + .footer-bottom { + width: min(var(--section-max), calc(100% - 40px)); + margin: 0 auto; + padding: 16px 0; + border-top: 1px solid var(--panel-border); + display: flex; + align-items: center; + justify-content: space-between; + gap: 12px; + flex-wrap: wrap; + } + + .footer-bottom p { margin: 0; color: #475569; font-size: .78rem; } + + .footer-bottom-links { display: flex; gap: 16px; } + .footer-bottom-links a { color: #475569; text-decoration: none; font-size: .78rem; transition: color .15s; } + .footer-bottom-links a:hover { color: var(--muted); } + + /* ── PDF Upload Panel ────────────────────────────────────── */ + .pdf-panel { + margin-bottom: 20px; + border-radius: 14px; + border: 1.5px dashed var(--panel-border); + background: rgba(15,23,42,.5); + padding: 20px 22px; + transition: border-color .2s, background .2s; + } + + .pdf-panel.has-pdf { + border-style: solid; + border-color: var(--accent); + background: rgba(20,184,166,.06); + } + + .pdf-panel.dragging { + border-color: var(--primary); + background: rgba(59,130,246,.08); + } + + .pdf-header { + display: flex; + align-items: center; + justify-content: space-between; + gap: 12px; + flex-wrap: wrap; + } + + .pdf-label { + display: flex; + align-items: center; + gap: 10px; + font-size: .88rem; + font-weight: 600; + color: #f8fafc; + } + + .pdf-icon { + width: 32px; height: 32px; + border-radius: 8px; + background: rgba(59,130,246,.15); + display: flex; + align-items: center; + justify-content: center; + font-size: 1rem; + flex-shrink: 0; + } + + .pdf-icon.loaded { background: rgba(20,184,166,.18); } + + .pdf-actions { display: flex; gap: 8px; align-items: center; flex-wrap: wrap; } + + .btn-sm { + padding: 7px 14px; + font-size: .8rem; + border-radius: 7px; + } + + .pdf-meta { + margin-top: 12px; + padding: 10px 14px; + border-radius: 8px; + background: rgba(255,255,255,.04); + border: 1px solid var(--panel-border); + font-size: .82rem; + color: var(--muted); + display: flex; + gap: 16px; + flex-wrap: wrap; + } + + .pdf-meta span { display: flex; align-items: center; gap: 5px; } + + .pdf-badge { + display: inline-block; + padding: 2px 8px; + border-radius: 999px; + font-size: .72rem; + font-weight: 700; + letter-spacing: .3px; + background: rgba(20,184,166,.15); + color: var(--accent); + border: 1px solid rgba(20,184,166,.3); + } + + .pdf-inject-note { + margin-top: 10px; + font-size: .78rem; + color: var(--accent); + opacity: .8; + } + + /* file input hidden, label acts as button */ + #pdfFileInput { display: none; } + + /* ── Spinner ──────────────────────────────────────────────── */ + @keyframes spin { to { transform: rotate(360deg); } } + + .spinner { + display: inline-block; + width: 14px; height: 14px; + border: 2px solid rgba(255,255,255,.2); + border-top-color: #fff; + border-radius: 50%; + animation: spin .6s linear infinite; + vertical-align: middle; + margin-right: 6px; + } + + /* ── Responsive ───────────────────────────────────────────── */ + @media (max-width: 680px) { + .menu-btn { display: block; } + .nav-links { display: none; } + .footer-inner { grid-template-columns: 1fr; gap: 24px; } + .how-steps { grid-template-columns: 1fr; } + .hero { padding: 48px 20px; } + .tab-btn { font-size: .75rem; padding: 7px 11px; } + } \ No newline at end of file diff --git a/wrangler.jsonc b/wrangler.jsonc new file mode 100644 index 0000000..090b2ec --- /dev/null +++ b/wrangler.jsonc @@ -0,0 +1,20 @@ +{ + "$schema": "node_modules/wrangler/config-schema.json", + "name": "scholarai", + "main": "src/worker.py", + "compatibility_date": "2025-11-02", + "compatibility_flags": [ + "python_workers", + "python_dedicated_snapshot" + ], + "ai": { + "binding": "AI" + }, + "assets": { + "binding": "ASSETS", + "directory": "./static" + }, + "observability": { + "enabled": true + } +}