README.md

---
title: Flower_classifier
colorFrom: blue
colorTo: purple
sdk: gradio
license: apache-2.0
pipeline_tag: classification
metrics:
- accuracy
library_name: tensorflow keras
emoji: 🌍
---
# Model Card

## Overview

- **Model name:** Flower Classification
- **Model description:** Classification between 5 types flower.
- **Authors:** Pallabi Biswas
- **Repository link:** https://huggingface.co/spaces/pallabi/gradio_flower_classifier/tree/main
- **License:** Apache license 2.0
- **Contact information:** [email protected]


---


# Flower Classification_app
A simple and well designed web app to classify between **5 types flower**.


### Requirements
- gradio
- tensorflow
- keras
- matplotlib
- Pillow
- numpy



### Table Of Contents
-  [Introduction](#introduction)
-  [Project Architecture](#project-architecture)
-  [How To Run](#how-to-run)
-  [License](#license)
-  [Contributor](#contributor)


### Introduction
A simple and well designed web app to translate between **5 types flower**.


### Prject Architecture
```
├──  data
│    └── flowerClassifications.txt  - text dataset.
│
│
├──  docs 
│    └── flowerClassifications.pdf  - paper of the related research.
│
│
├──  app.py - this module starts the app interface.
│
│
├──  LICENSE - license file of this project.
│
│
├──  README.md - readme file of this project.
│
│
├──  requirements.txt - list of required packages.
```

### How To Run 
```bash
# clone project   
git clone https://huggingface.co/spaces/pallabi/gradio_flower_classifier
# go inside the project directory 
cd gradio_flower_classifier
# install the required packages
pip install -r requirements.txt
# run the gradio app
python app.py 
```

### License
Distributed under the Apache License 2.0. See `LICENSE` for more information.


### Contributor
Pallabi Biswas - [@pallabi](https://huggingface.co/pallabi) - [email protected]

Project Link: [https://huggingface.co/spaces/pallabi/gradio_flower_classifie](https://huggingface.co/spaces/pallabi/gradio_flower_classifier)