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  ---
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- title: Gradio Flower Classifier
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- emoji: πŸ¦€
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- colorFrom: indigo
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- colorTo: indigo
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  sdk: gradio
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- sdk_version: 4.15.0
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- app_file: app.py
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- pinned: false
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  license: apache-2.0
 
 
 
 
 
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  ---
 
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- Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ title: Flower_classifier
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+ colorFrom: blue
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+ colorTo: purple
 
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  sdk: gradio
 
 
 
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  license: apache-2.0
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+ pipeline_tag: classification
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+ metrics:
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+ - accuracy
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+ library_name: tensorflow keras
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+ emoji: 🌍
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  ---
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+ # Model Card
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+ ## Overview
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+
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+ - **Model name:** Flower Classification
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+ - **Model description:** Classification between 5 types flower.
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+ - **Authors:** Pallabi Biswas
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+ - **Repository link:** https://huggingface.co/spaces/pallabi/gradio_flower_classifier/tree/main
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+ - **License:** Apache license 2.0
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+ - **Contact information:** pallabi.stu2017@juniv.edu
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+
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+
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+ ---
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+
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+
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+ # Flower Classification_app
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+ A simple and well designed web app to classify between **5 types flower**.
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+
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+
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+ ### Requirements
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+ - gradio
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+ - tensorflow
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+ - keras
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+ - matplotlib
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+ - Pillow
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+ - numpy
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+
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+
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+
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+ ### Table Of Contents
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+ - [Introduction](#introduction)
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+ - [Project Architecture](#project-architecture)
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+ - [How To Run](#how-to-run)
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+ - [License](#license)
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+ - [Contributor](#contributor)
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+
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+
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+ ### Introduction
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+ A simple and well designed web app to translate between **5 types flower**.
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+
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+
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+ ### Prject Architecture
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+ ```
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+ β”œβ”€β”€ data
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+ β”‚ └── flowerClassifications.txt - text dataset.
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+ β”‚
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+ β”‚
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+ β”œβ”€β”€ docs
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+ β”‚ └── flowerClassifications.pdf - paper of the related research.
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+ β”‚
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+ β”‚
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+ β”œβ”€β”€ app.py - this module starts the app interface.
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+ β”‚
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+ β”‚
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+ β”œβ”€β”€ LICENSE - license file of this project.
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+ β”‚
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+ β”‚
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+ β”œβ”€β”€ README.md - readme file of this project.
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+ β”‚
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+ β”‚
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+ β”œβ”€β”€ requirements.txt - list of required packages.
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+ ```
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+
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+ ### How To Run
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+ ```bash
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+ # clone project
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+ git clone https://huggingface.co/spaces/pallabi/gradio_flower_classifier
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+ # go inside the project directory
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+ cd gradio_flower_classifier
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+ # install the required packages
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+ pip install -r requirements.txt
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+ # run the gradio app
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+ python app.py
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+ ```
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+
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+ ### License
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+ Distributed under the Apache License 2.0. See `LICENSE` for more information.
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+
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+
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+ ### Contributor
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+ Pallabi Biswas - [@pallabi](https://huggingface.co/pallabi) - pallabi.stu2017@juniv.edu
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+
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+ Project Link: [https://huggingface.co/spaces/pallabi/gradio_flower_classifie](https://huggingface.co/spaces/pallabi/gradio_flower_classifier)