Update links again

app.py

@@ -46,9 +46,9 @@ def predict(img) -> Tuple[Dict, float]:
 
 ### 4. Gradio app ###
 # Create title, description and article
-title = "A Food101 Classifier - [Source Code Can Be Found Here](https://colab.research.google.com/drive/1DzjWL_ICWoWuYsEgB-YfSdlIyohpL87u?usp=drive_link)"
-description = "An [EfficientNetV2 feature extractor](https://pytorch.org/vision/main/models/efficientnetv2.html) computer vision model to classify images [101 classes of food from the Food101 dataset](https://github.com/mrdbourke/pytorch-deep-learning/blob/main/extras/food101_class_names.txt)."
-article = "Built with [Gradio](https://github.com/gradio-app/gradio) and [PyTorch](https://pytorch.org/)."
+title = "A Food101 Classifier"
+description = "An [EfficientNetV2 feature extractor](https://pytorch.org/vision/main/models/efficientnetv2.html) computer vision model to classify images [101 classes of food from the Food101 dataset](https://github.com/mrdbourke/pytorch-deep-learning/blob/main/extras/food101_class_names.txt). [Source Code Can Be Found Here](https://colab.research.google.com/drive/1DzjWL_ICWoWuYsEgB-YfSdlIyohpL87u?usp=drive_link)"
+article = "Built with [Gradio](https://github.com/gradio-app/gradio) and [PyTorch](https://pytorch.org/). [Source Code Can Be Found Here](https://colab.research.google.com/drive/1DzjWL_ICWoWuYsEgB-YfSdlIyohpL87u?usp=drive_link)"
 
 # Create example list
 example_list = [["examples/" + example] for example in os.listdir("examples")]