Spaces:
Running
Running
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README.md
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license: mit
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short_description: URL to Audio Summary Agent
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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license: mit
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short_description: URL to Audio Summary Agent
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---
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# 🗣️ URL to Audio Summary Agent (LangChain + Hugging Face)
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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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---
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## 🚀 Features
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- 🌐 Fetches and parses web content from any URL
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- 🧠 Summarizes long articles using `flan-t5-base`
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- 🔊 Converts summaries into speech using `espnet/kan-bayashi_ljspeech_vits`
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- 🖥️ CPU-only — no GPU or API keys required
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- 🧱 Built using LangChain, Gradio, Transformers
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---
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## 🛠 Tech Stack
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- **LangChain**: Document loader, prompt chaining
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- **Transformers**: `flan-t5-base` for summarization
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- **ESPnet/VITS**: Natural-sounding voice TTS model
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- **Gradio**: Easy interface for Hugging Face Spaces
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---
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## 🧩 Usage
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1. Paste any blog or article URL (e.g. from Medium, BBC, etc.)
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2. The agent will:
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- Load and extract article content
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- Summarize the article intelligently
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- Convert the summary into audio
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3. You get both:
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- 📄 Text Summary
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- 🔉 Downloadable Audio Summary (WAV)
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---
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## 📦 Installation
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To run locally or on Spaces:
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### `requirements.txt`
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```txt
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gradio
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langchain
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transformers
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torch
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sentencepiece
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beautifulsoup4
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```
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---
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## 💡 SEO Tags
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`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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---
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## 🧠 Example Models Used
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- `google/flan-t5-base` (Summarization)
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- `espnet/kan-bayashi_ljspeech_vits` (TTS)
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---
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## 📍 Ideal For
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- Podcasters turning news into voice
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- Accessibility tools
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- EdTech content summarization
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- Personal AI readers
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---
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## 🪪 License
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MIT — fork, remix, and deploy freely.
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---
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## 🙌 Credits
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Built using [LangChain](https://www.langchain.com/) and [Hugging Face Transformers](https://huggingface.co/transformers/).
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