A lightweight web app built with Flask + JavaScript that lets you analyze any webpage or pasted text using Google Gemini API.
It fetches the page, extracts readable content, and summarizes it into title, summary, key points, tone, and tags — perfect for quick content analysis or inspiration.

• 🌐 URL or Text Input – Analyze any public webpage or paste content manually.
• 🤖 Gemini-powered Summaries – Uses Gemini AI to generate clean, context-aware insights.
• 🧩 Side Panel View – Interactive UI to show results instantly.
• 🧱 Flask Backend + Vanilla JS Frontend – Lightweight, simple to deploy.
• 🐳 Docker Support – Ready for containerized deployment.
• 🧪 Pytest Unit Tests – Basic tests for fetcher and analyzer.

git clone https://github.com/<your-username>/ai-page-analyzer.git
cd ai-page-analyzer

Duplicate the example environment file and add your Gemini API key:

cp .env.example .env

Then open .env and set your real Gemini API key:

GEMINI_API_KEY=your_real_gemini_api_key_here
MODEL_NAME=gemini-pro
HOST=0.0.0.0
PORT=7860

python -m venv .venv
source .venv/bin/activate       # (On Windows: .venv\Scripts\activate)
pip install -r requirements.txt

python -m venv .venv
source .venv/bin/activate       # (On Windows: .venv\Scripts\activate)
pip install -r requirements.txt

1. Paste a URL like
2. Click Analyze
3. The app will: . Fetch the webpage text . Send it to Gemini . Display the summary, key points, and suggested tags in the side panel

pytest -q

Build and run with Docker:

docker build -t ai-page-analyzer .
docker run -p 7860:7860 --env-file .env ai-page-analyzer

1. Backend: Python (Flask)
2. Frontend: HTML, CSS, JavaScript
3. AI Model: Google Gemini
4. Database: None (stateless)
5. Testing: Pytest
6. Deployment: Docker / GitHub Actions

1. The current version processes up to ~4000 characters per request (simple truncation). For long articles, consider implementing chunked summarization.
2. Works best with Gemini-pro or any model that supports long text input.
3. You can replace google.generativeai with any Gemini REST API client if needed.

• A 1 – GitHub: aonexyz

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MIT License © 2025