README.md

metadata

title: Keyword Extraction App
emoji: 🧠
colorFrom: blue
colorTo: indigo
sdk: gradio
sdk_version: 4.0.0
app_file: app.py
pinned: false
license: mit

🔍 Keyword Extraction App

☁️ Render API Integrated with Hugging Face Gradio

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📋 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.

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🚀 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
3. The backend extracts important keywords using NLP models and returns them to the Gradio interface.
4. The extracted keywords are displayed instantly.

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🧩 Tech Stack

• Frontend: Gradio (Hugging Face Spaces)
• Backend: Flask (deployed on Render)
• Language: Python
• Model: NLP-based keyword extraction pipeline

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💻 Usage

1. Enter or paste any text into the input box.
2. Click “Submit”.
3. Instantly view extracted keywords.

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🧑‍💻 Developer

Aaditya Ramrame
🔗 Hugging Face: @Aadityaramrame
☁️ Render API: Keyword Extraction API

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🧠 Example Input