Update README.md

README.md

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-# traffic_signs_classification
-
-The purpose of this project is to train an implementation of the LeNet-5 Convolutional Neural Network for the 
-classification of traffic signs provided by the user. The model was trained and tested on about 40.000 real photos of 43 
-types of german traffic signs. Data was taken from The German Traffic Sign Recognition Benchmark (GTSRB): https://benchmark.ini.rub.de/gtsrb_dataset.html
-
-Notebook with built and trained model: **traffic_signs_classification_lenet5.ipynb**
-
-Folder with saved model: **keras_model**
-
-Streamlit application for testing the model: **streamlit_app.py**
-
-Article: https://towardsdatascience.com/classification-of-traffic-signs-with-lenet-5-cnn-cb861289bd62
-
-Link to Streamlit app: https://share.streamlit.io/andriigoz/traffic_signs_classification
+---
+title: Traffic sign-CNN
+sdk: streamlit
+emoji: 🏢
+colorFrom: green
+app_file: streamlit_app.py
+---