metadata

title: Text Pdf Summarizer Ui
emoji: 🐠
colorFrom: blue
colorTo: gray
sdk: gradio
sdk_version: 5.29.0
app_file: app.py
pinned: false
license: mit
short_description: 📝 Text & PDF Summarizer UI

📝 Text & PDF Summarizer UI

A lightweight web application that allows users to paste text or upload a PDF document, then summarizes the content using a HuggingFace transformer model integrated with LangChain and displayed via a Gradio interface.

🚀 Key Features

Input text manually or via PDF upload
Extracts and summarizes PDF text using NLP
User-friendly Gradio interface
Uses pre-trained facebook/bart-large-cnn summarization model

🏗️ Project Architecture

Gradio: Frontend interface to interact with the app
PyPDF2: Extracts text from PDF files
LangChain: Framework for managing LLM-based workflows
HuggingFace: Provides transformer models like BART for summarization

🔧 Getting Started

1- Clone the repo

git clone https://github.com/rahimizadeh/text-pdf-summarizer-ui.git
cd text-pdf-summarizer-ui

📁Project Structure

      ├── text-pdf-summarizer-ui/
            ├── app.py    # Application
            └── requirements.txt
            └── README.md

2- Create a virtual environment (optional)

source venv/bin/activate  # On Windows: venv\\Scripts\\activate

3- Install dependencies

pip install -r requirements.txt

4- Run the app

python app.py

🧠 About the Tools

LangChain: provides a modular framework for building applications with language models. Here, it's used to manage prompting and model output formatting.

HuggingFace Transformers: We use the facebook/bart-large-cnn model, a powerful encoder-decoder model ideal for summarization.

Gradio: lets us quickly build and share user-friendly web interfaces for Machine Learning apps.

🔍 Implementation Details

1- Model Initialization: Using HuggingFacePipeline via LangChain

2- PromptTemplate: Wraps text for inference

3- PDF Handling: Reads uploaded file as bytes and extracts text using PyPDF2

4- UI Logic: Built with Gradio Blocks to control layout, input, and output

✅ Example Usage

Upload a PDF or paste article text
Cick “Convert PDF to Text” (if PDF)-
Click “Summarize Text”
View summary below the input

📝 License

MIT

🤝 Contributions

Pull requests and suggestions welcome!

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference