https://github.com/mehtadigisha/automate-keywords
https://github.com/mehtadigisha/automate-keywords
Last synced: 28 days ago
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- Host: GitHub
- URL: https://github.com/mehtadigisha/automate-keywords
- Owner: mehtadigisha
- Created: 2025-05-07T05:57:15.000Z (5 months ago)
- Default Branch: main
- Last Pushed: 2025-07-10T16:41:08.000Z (3 months ago)
- Last Synced: 2025-07-10T23:00:57.472Z (3 months ago)
- Language: Python
- Size: 10.7 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Product Keyword Extractor for Pet Retail
This is a Flask-based web application that extracts keywords for product names using a combination of NLP models: KeyBERT, YAKE, and HuggingFace Transformers (`zero-shot-classification`). The output is an Excel file with the original product names and their associated keywords.
---
## 🚀 Features
- Upload Excel file with product names
- Extract top keywords using:
- **KeyBERT**
- **YAKE**
- **Zero-Shot Classification** from HuggingFace
- Download enriched Excel file with extracted keywords
- Designed specifically for **pet product domain**
---
## 📦 Installation
1. **Clone the repository**
```bash
git clone (https://github.com/mehtadigisha/Automate-Keywords)
cd Automate Keywords
````
2. **Create and activate a virtual environment**
```bash
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
```
3. **Install dependencies**
```bash
pip install -r requirements.txt
```
4. **Download model (optional)**
On first run, `transformers` and `keybert` models will be downloaded automatically.
---
## 📁 Folder Structure
```
.
├── app.py # Main Flask app
├── templates/
│ └── form.html # Upload form for web interface
├── outputs/ # Generated Excel files
├── requirements.txt # Python dependencies
└── README.md # This file
```
---
## 🛠️ Usage
1. **Run the Flask app**
```bash
python app.py
```
2. **Open browser**
Visit: [http://localhost:5000](http://localhost:5000)
3. **Upload your Excel file**
* Must contain a column named `Product Name`
* Click **Submit** to process
* Download the resulting file with keywords
---
## 📚 Dependencies
* `Flask`
* `pandas`
* `keybert`
* `yake`
* `transformers`
* `scikit-learn`
* `sentence-transformers`
Install all with:
```bash
pip install -r requirements.txt
```
---
## ✅ To-Do
* Add API support (optional)
* Add interface for direct keyword input
* Add support for CSV upload
---