Update dogbreaddetection.py

dogbreaddetection.py

@@ -1,14 +1,11 @@
 # -*- coding: utf-8 -*-
 """DogBreadDetection.ipynb
 
-Automatically generated by Colab.
-
-Original file is located at
-    https://colab.research.google.com/drive/1asSnC5KEvsnOmOzCEdX839PgCTd_zWfU
-"""
-
 '''
-The code is designed to identify dog breeds from uploaded images by leveraging a pretrained image classification model, such as VGG16 or ResNet, fine-tuned specifically for dog breed classification. This is achieved by using a Convolutional Neural Network (CNN) within TensorFlow or PyTorch frameworks. Additionally, Gradio is used to build a user-friendly web-based interface for easy image uploads and breed predictions.
+The code is designed to identify dog breeds from uploaded images by leveraging a pretrained image classification model, 
+such as VGG16 or ResNet, fine-tuned specifically for dog breed classification. This is achieved by using a Convolutional
+Neural Network (CNN) within TensorFlow or PyTorch frameworks. Additionally, Gradio is used to build a user-friendly web-based
+interface for easy image uploads and breed predictions.
 '''
 
 !pip install torch torchvision