Initial commit

README.md

@@ -1,6 +1,6 @@
 ---
 title: Age Guesser ViT
-emoji: 👀
+emoji: 👴🏻
 colorFrom: indigo
 colorTo: yellow
 sdk: gradio
@@ -10,4 +10,7 @@ pinned: false
 license: apache-2.0
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+A deployed Gradio for a project for REA Mastering AI course. Made by [Dennis Jonathan](dennisjooo.github.io).
+Age guessing model from [nateraw/vit-age-classifier](https://huggingface.co/nateraw/vit-age-classifier)
+
+Totally not creepy, I promise :)

app.py

@@ -0,0 +1,90 @@
+# Importing some modules
+import gradio as gr
+from transformers import pipeline
+import torch.cuda as cuda
+
+# Loading in the model
+MODEL = pipeline('image-classification', model='nateraw/vit-age-classifier', device=0 if cuda.is_available() else -1)
+
+# Main function to classify image
+def classify_image(image, top_k):
+    # Getting the classification result
+    classification_result = MODEL(image)
+
+    # Reformating the classification result into a dictionary
+    classification_result = {result['label']: result['score'] for result in classification_result[:int(top_k)]}
+
+    # Add some text comment to it lol
+    comment = text_comment(list(classification_result.keys())[0])
+
+    # Returning the classification result
+    return classification_result, comment
+
+# Snarky comment based on age
+def text_comment(pred_class):
+    match pred_class:
+        case "3-9":
+            return "Lost your way to the playground?"
+        case "10-19":
+            return "But Mom, I'm not a kid anymore!"
+        case "20-29":
+            return "You're in your prime!"
+        case "30-39":
+            return "Oof, watch out for those wrinkles!"
+        case "40-49":
+            return "You're still young at heart!"
+        case "50-59":
+            return "Retirement is just around the corner!"
+        case "60-69":
+            return "You're a senior citizen now!"
+        case "more than 70":
+            return "Hey Siri, play 'My Way' by Frank Sinatra"
+        
+
+if __name__ == "__main__":
+    # Creating the Gradio interface
+    with gr.Blocks() as demo:
+        gr.Markdown("""
+                    # I will guess your age based on your picture!
+                    ---
+                    Totally not creepy, I promise :)
+                    <br>Made by [Dennis Jonathan](dennisjooo.github.io). A project for REA Mastering AI course.   
+                    Age guessing model from [nateraw/vit-age-classifier](https://huggingface.co/nateraw/vit-age-classifier)
+                    """)
+        
+        with gr.Row(equal_height=True):
+            with gr.Column():
+                # Creating the input block
+                image = gr.Image(label="Upload a picture of yourself", type="pil", scale=2)
+
+                # Creating the example block
+                gr.Examples(examples=[
+                    "./images/andrew.jpg",
+                    "./images/feifei.jpg",
+                    "./images/geoff.jpg",
+                    "./images/ilya.jpg",
+                    "./images/karpathy.jpg",
+                    "./images/lex.jpg"
+                    ], inputs=[image], label="Or choose an example")
+        
+
+            with gr.Column():
+                # Getting the top k hyperparameter
+                top_k = gr.Number(label="How many guesses do I get?", value=1)
+
+                # Creating the output block
+                label = gr.Label(label="Hey it's me, your age!")
+                comment = gr.Textbox(label="Based on your age, I think you are...", 
+                                    placeholder="I'm still learning, so I might be wrong!")
+
+        with gr.Row():
+            # Submit button
+            btn = gr.Button("Beep boop, guess my age!")
+            btn.click(classify_image, inputs=[image, top_k], outputs=[label, comment])
+
+            # Clear button
+            clear = gr.Button("Poof begone!")
+            clear.click(lambda: [None, None, None], inputs=[], outputs=[image, label, comment])
+
+    # Launching the interface
+    demo.launch(share=False, debug=True)