FINAL PUSH: Locked environment (Python 3.11) and stable dependencies.

app.py

@@ -17,7 +17,8 @@ def predict(img):
     return {labels[i]: float(probs[i]) for i in range(len(labels))}
 
 title = "Sports Classifier"
-description = "A reliable deployment via minimal configuration."
+description = "A sports classifier trained on the images from Google. Created as a demo for Gradio and HuggingFace Spaces."
+article="<p style='text-align: center'><a href='www.linkedin.com/in/shivamkswarnkar' target='_blank'>Linkedin Profile</a></p>"
 examples = ["badminton.jpg", "cricket.jpg", "swimming.jpg"] 
 
 demo = gr.Interface(