glosser 0.0.1

Automatically annotates research PDFs with citations and abbreviation expansions.

glosser

Automatically annotate research PDFs with citation titles and abbreviation expansions, right in the margins.

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🤔 What is Glosser?

Ever read a dense research paper and had to constantly flip to the references section just to see what [17] is? Or wondered what LSTM stands for on page 8?

Glosser solves this. It reads your PDF, identifies every citation marker (like [1], [2], …) and every uppercase abbreviation, then writes their full titles and expansions directly into the page margins, producing a new, self-contained PDF you can read without jumping around.

Before → After

Without Glosser	With Glosser
...as shown in [14]...	...as shown in [14]... ← margin: "Attention Is All You Need (2017)"
...using the BERT model...	...using the BERT model... ← margin: "Bidirectional Encoder Representations from Transformers"

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✨ Features

• 📄 Citation Annotations: Extracts titles and years from the references section using LLM and writes them next to each [n] marker in the margins.
• 🔤 Abbreviation Expansion: Finds uppercase abbreviations (3–5 chars), looks up their full forms via RAG + LLM, and annotates them in the margins.
• 🎨 Color-Coded: Green for context-extracted definitions, red for LLM-inferred ones, so you know the confidence level at a glance.
• 🔑 API Key Saved Locally: Enter your Groq API key once; it's stored at ~/.glosser_config for future runs.

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🚀 Installation

pip install -q glosser

Note: The -q flag keeps the install output clean. Glosser has ML dependencies (PyTorch, Transformers, FAISS) so the first install may take a few minutes.

Requirements

• Python ≥ 3.9
• A free Groq API key

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📖 Usage

CLI (recommended)

Simply run:

glosser

As a Python Library

import asyncio
from glosser.main import annotate

async def main():
    out_path, count = await annotate(
        path="paper.pdf",
        GROQ_API_KEY="gsk_...",
        scaling=1.2,               # margin width multiplier (default: 1.2)
        find_references=True,      # annotate [n] citations
        find_abbreviation=True,    # annotate abbreviations
    )
    print(f"Saved {count} annotations to {out_path}")

asyncio.run(main())

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⚙️ How It Works

PDF Input
   │
   ├─ 1. Scale pages horizontally to create side margins
   │
   ├─ 2. Extract references section → LLM extracts title + year for each [n]
   │
   ├─ 3. Find all [n] markers in body text → write citation info in nearest margin
   │
   ├─ 4. Find all uppercase abbreviations (≥2 occurrences)
   │
   ├─ 5. RAG pipeline: chunk PDF → embed with MiniLM → FAISS similarity search
   │     └─ LLM resolves full form from retrieved context
   │
   └─ 6. Write abbreviation expansions in margins → save new PDF

Tech stack: PyMuPDF · LangChain · Groq (Kimi K2) · HuggingFace Embeddings (MiniLM-L6-v2) · FAISS

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🛠️ Configuration

Option	Default	Description
scaling	1.2	How much to widen pages for margins (1.0 = no extra margin)
find_references	True	Annotate [n] citation markers
find_abbreviation	True	Annotate uppercase abbreviations

Your Groq API key is stored locally at ~/.glosser_config after the first run.
To reset it, simply delete that file.