README.md

metadata

title: URL To Audio Summary
emoji: 🐠
colorFrom: gray
colorTo: pink
sdk: gradio
sdk_version: 5.34.2
app_file: app.py
pinned: false
license: mit
short_description: URL to Audio Summary Agent

🗣️ URL to Audio Summary Agent (LangChain + Hugging Face)

This project is an advanced LangChain-powered agent that takes any article/blog URL, summarizes it using a CPU-friendly language model, and generates a spoken audio summary. Designed to run entirely on CPU, it's perfect for deploying on Hugging Face Spaces.

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🚀 Features

• 🌐 Fetches and parses web content from any URL
• 🧠 Summarizes long articles using flan-t5-base
• 🔊 Converts summaries into speech using espnet/kan-bayashi_ljspeech_vits
• 🖥️ CPU-only — no GPU or API keys required
• 🧱 Built using LangChain, Gradio, Transformers

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🛠 Tech Stack

• LangChain: Document loader, prompt chaining
• Transformers: flan-t5-base for summarization
• ESPnet/VITS: Natural-sounding voice TTS model
• Gradio: Easy interface for Hugging Face Spaces

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🧩 Usage

1. Paste any blog or article URL (e.g. from Medium, BBC, etc.)
2. The agent will:
   • Load and extract article content
   • Summarize the article intelligently
   • Convert the summary into audio
3. You get both:
   • 📄 Text Summary
   • 🔉 Downloadable Audio Summary (WAV)

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📦 Installation

To run locally or on Spaces:

requirements.txt

gradio
langchain
transformers
torch
sentencepiece
beautifulsoup4

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💡 SEO Tags

AI article summarizer, Text-to-Speech summarizer, LangChain agent, Hugging Face CPU summarizer, URL to audio, audio content AI, gradio langchain tts

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🧠 Example Models Used

• google/flan-t5-base (Summarization)
• espnet/kan-bayashi_ljspeech_vits (TTS)

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📍 Ideal For

• Podcasters turning news into voice
• Accessibility tools
• EdTech content summarization
• Personal AI readers

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🪪 License

MIT — fork, remix, and deploy freely.

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🙌 Credits

Built using LangChain and Hugging Face Transformers.