Update README.md

README.md

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 ---
-title: KeywordExtraction
-emoji: 🐨
-colorFrom: yellow
-colorTo: purple
+title: "Keyword Extraction App"
+emoji: 🧠
+colorFrom: blue
+colorTo: indigo
 sdk: gradio
-sdk_version: 5.49.1
+sdk_version: "4.0.0"
 app_file: app.py
 pinned: false
+license: mit
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# 🔍 **Keyword Extraction App**
+
+### ☁️ *Render API Integrated with Hugging Face Gradio*
+
+---
+
+## 📋 **Project Overview**
+This app demonstrates how to connect a **Gradio interface on Hugging Face** with a **Flask API deployed on Render**.  
+It performs **keyword extraction** from any text input by making live API calls to the backend.
+
+---
+
+## 🚀 **How It Works**
+1. User enters text into the Gradio interface.  
+2. The frontend sends the text to the Render-hosted API endpoint:  
+   🔗 [`https://carecompanion-keywordextraction.onrender.com/extract_keywords`](https://carecompanion-keywordextraction.onrender.com/extract_keywords)  
+3. The backend extracts important keywords using NLP models and returns them to the Gradio interface.  
+4. The extracted keywords are displayed instantly.
+
+---
+
+## 🧩 **Tech Stack**
+- **Frontend:** Gradio (Hugging Face Spaces)  
+- **Backend:** Flask (deployed on Render)  
+- **Language:** Python  
+- **Model:** NLP-based keyword extraction pipeline  
+
+---
+
+## 💻 **Usage**
+1. Enter or paste any text into the input box.  
+2. Click **“Submit”**.  
+3. Instantly view extracted keywords.
+
+---
+
+## 🧑‍💻 **Developer**
+**Aaditya Ramrame**  
+🔗 Hugging Face: [@Aadityaramrame](https://huggingface.co/Aadityaramrame)  
+☁️ Render API: [Keyword Extraction API](https://carecompanion-keywordextraction.onrender.com/extract_keywords)
+
+---
+
+## 🧠 Example Input