description added

app.py

@@ -13,6 +13,9 @@ def predict(img):
     pred,pred_idx,probs = learn.predict(img)
     return {labels[i]: float(probs[i]) for i in range(len(labels))}
 
-title = "rock classifier"
-examples = ["basalt1.jpeg","coal.jpeg","granite.jpeg", "limestone.jpeg","marble.jpeg","quartzite.jpeg","sandstone.jpeg"]
-gr.Interface(fn=predict, inputs=gr.Image(), outputs=gr.Label(num_top_classes=7),title = title,examples= examples).launch(share=True)
+title = "<div style='text-align:center'> Rock classifier</div>"
+examples = ["basalt.jpeg","coal.jpeg","granite.jpeg", "limestone1.jpeg","marble1.jpeg","quartzite.jpeg","sandstone4.jpeg"]
+description = "Rock classification using convolutional neural networks results may not be accurate since trained on small dataset"
+article="<p style='text-align: center'><a href='https://www.linkedin.com/in/amrutha-kp/' target='_blank'>Linkedin</a></p>"
+
+gr.Interface(fn=predict, inputs=gr.Image(), outputs=gr.Label(num_top_classes=7),title = title,examples= examples,article=article,description=description).launch(share=True)