pysearchlm 1.0.1

LLM-powered PDF academic paper summarizer with LaTeX output

pysearchlm

LLM-powered library that analyses academic PDF papers via Google Gemini URL Context and produces a comprehensive LaTeX technical summary.

Features

• 🧠 Gemini 2.5-pro integration (URL Context, no downloading)
• 📝 LaTeX output with academic package suggestions
• 🌍 Multi-language summaries (tr, en, fr, de, es, it, nl, pt, ru)
• ⚙️ Modular codebase (core/, utils/)
• 🚀 Minimal usage examples (examples/)

Installation

pip install -r requirements.txt

Set your API key:

# Windows PowerShell
$env:GEMINI_API_KEY="YOUR_API_KEY"

# macOS / Linux
export GEMINI_API_KEY="YOUR_API_KEY"

# or via .env
echo "GEMINI_API_KEY=YOUR_API_KEY" > .env

Basic Usage

from pysearchlm import PDFAnalyzer

url = "https://arxiv.org/pdf/1706.03762.pdf"
ana = PDFAnalyzer()
res = ana.analyze_pdf(url, language="en")
print(res["latex_file"]["path"]) if res["success"] else print(res["error"])

Batch Analysis

urls = [
    "https://arxiv.org/pdf/1706.03762.pdf",
    "https://arxiv.org/pdf/1810.04805.pdf"
]
ana = PDFAnalyzer()
results = ana.analyze_multiple_pdfs(urls, language="en")
print("Success", results["successful"], "/", results["total_pdfs"])

Structure

core/   # Gemini client, PDF URL handler, LaTeX generator
utils/  # Config & helpers
examples/  # Minimal demos
pysearchlm.py  # Main API class

Notes

• PDF is not downloaded; Gemini reads it directly via URL.
• LaTeX files are stored in output/.
• Make sure GEMINI_API_KEY is defined, otherwise the analyzer raises an error at startup.

License

MIT. See LICENSE.