Update app.py

app.py

@@ -6,6 +6,11 @@ from timm import create_model
 from timm.data import resolve_data_config
 from timm.data.transforms_factory import create_transform
 
+title = "Image Classifier Four -- Timm Resnet-50"
+description = """This machine has vision. It can see objects and concepts in an image. To test the machine, upload or drop an image, submit and read the results. The results comprise a list of words that the machine sees in the image. Beside a word, the length of the bar indicates the confidence with which the machine sees the word. The longer the bar, the more confident the machine is.
+"""
+article = "This app was made by following [this YouTube video](https://youtu.be/a8aS3ZYlzDM)."
+
 IMAGENET_1K_URL = "https://storage.googleapis.com/bit_models/ilsvrc2012_wordnet_lemmas.txt"
 LABELS = requests.get(IMAGENET_1K_URL).text.strip().split("\n")
 model = create_model('resnet50', pretrained=True)
@@ -25,5 +30,10 @@ def predict_fn(img):
   values, indices = torch.topk(probabilities, k=3)
   return {LABELS[i]: v.item() for i, v in zip(indices, values)}
   
-gr.Interface(predict_fn, gr.inputs.Image(type='pil'), outputs='label').launch()
+gr.Interface(predict_fn, 
+             gr.inputs.Image(type='pil'), 
+             outputs='label',
+             title = title, 
+             description = description, 
+             article = article).launch()