reset readme according to config

README.md

@@ -1,44 +1,15 @@
 
 
 ---
-title: color tags
-colorFrom: gray
-colorTo: purple
+title: Color Tags
+emoji: 🌍
+colorFrom: yellow
+colorTo: indigo
 sdk: gradio
-sdk_version: 3.1.4
+sdk_version: 3.2
 app_file: app.py
 pinned: false
 ---
 
-# Color tags
-
-## An App classifying images on different colors 
-
-App: https://huggingface.co/spaces/rrighart/color-tags
-
-Color tags are very useful for finding pictures on the web, such as in e-commerce applications.
-This App provides color tags for uploaded image files.
-The underlying model was trained using a basic Convolutional Neural Network and an EfficientNet, with the latter giving slightly better results [1](https://www.kaggle.com/code/rrighart/the-prediction-of-color-tags/data) .
-
-For training and validation, the Vehicles Color Recognition (VCoR) dataset was used, which has 15 colors classes [2](https://www.kaggle.com/datasets/landrykezebou/vcor-vehicle-color-recognition-dataset). A separate unseen testset has overall accuracy of 84%
-One goal of this project was to see if the model can generalizes to other kind of products and objects. For this purpose I have used Fashion Product Images [3](https://www.kaggle.com/datasets/paramaggarwal/fashion-product-images-small) and several test images show promising results.
-
-## Contact
-
-Ruthger Righart
-Self-employed data scientist in machine learning and computer vision
-Email: rrighart@googlemail.com
-Web: https://www.rrighart.com
-
-## References
-
-1. https://www.kaggle.com/code/rrighart/the-prediction-of-color-tags/data .
-
-2. https://www.kaggle.com/datasets/landrykezebou/vcor-vehicle-color-recognition-dataset
-
-3. https://www.kaggle.com/datasets/paramaggarwal/fashion-product-images-small
-
-
-