added readme file

Included model details, user instructions with example.

README.md

@@ -10,5 +10,49 @@ pinned: false
 license: apache-2.0
 short_description: Summarize text using BART model
 ---
+# 📝 Summarization App — Hugging Face Version
+
+A clean and efficient text summarization app built using **Gradio** and Hugging Face Transformers. It generates concise summaries from longer text content.
+
+## 🧠 About the Model
+- **Pipeline:** `summarization`
+- **Model:** `facebook/bart-large-cnn`
+- **Framework:** Hugging Face Transformers
+- **Task:** Summarization (English-only)
+
+## 💡 Features
+- Summarize articles, blogs, or educational content
+- Fast and accurate summaries using pretrained BART model
+- Real-time interface with Gradio
+- Hosted on Hugging Face Spaces
+
+## ⚙️ Instructions for Users
+
+> ✨ Enter a paragraph or short article (50–300 words).
+> 
+> 📌 The model will return a concise, meaningful summary.
+> 
+> 🌐 Works best with **news**, **education**, **science**, **business**, or **blog-style** content.
+> 
+> ⚠️ Avoid single-line text or grammatically broken input.
+> 
+> ✅ Designed for English input only.
+
+### 📌 Placeholder Example
+```
+Online learning has transformed education by providing flexible access to knowledge for students worldwide. With platforms like Coursera, edX, and Khan Academy, learners can study at their own pace and from the comfort of their homes. This shift has also encouraged schools to adopt hybrid learning models.
+```
+
+---
+
+## 🚀 How to Run Locally
+Install the required packages:
+```bash
+pip install -r requirements.txt
+```
+Then run the app:
+```bash
+python app.py
+```
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference