KeywordExtraction / README.md
Aadityaramrame's picture
Update README.md
1b1fea4 verified
---
title: "Keyword Extraction App"
emoji: 🧠
colorFrom: blue
colorTo: indigo
sdk: gradio
sdk_version: "4.0.0"
app_file: app.py
pinned: false
license: mit
---
# πŸ” **Keyword Extraction App**
### ☁️ *Render API Integrated with Hugging Face Gradio*
---
## πŸ“‹ **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.
---
## πŸš€ **How It Works**
1. User enters text into the Gradio interface.
2. The frontend sends the text to the Render-hosted API endpoint:
πŸ”— [`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
---
## πŸ’» **Usage**
1. Enter or paste any text into the input box.
2. Click **β€œSubmit”**.
3. Instantly view extracted keywords.
---
## πŸ§‘β€πŸ’» **Developer**
**Aaditya Ramrame**
πŸ”— Hugging Face: [@Aadityaramrame](https://huggingface.co/Aadityaramrame)
☁️ Render API: [Keyword Extraction API](https://carecompanion-keywordextraction.onrender.com/extract_keywords)
---
## 🧠 Example Input