design

app.py

@@ -13,7 +13,7 @@ def predict(img):
     pred,pred_idx,probs = learn.predict(img)
     return {labels[i]: float(probs[i]) for i in range(len(labels))}
 
-title = "<div style='text-align:center;width:100%;display:flex';align-items:center> <div>Rock classifier</div></div>"
+title = "<div style='text-align:center;width:100%;display:flex';flex-direction:row;justify-content:space-evenly> <div>Rock classifier</div></div>"
 examples = ["basalt.jpeg","coal.jpeg","granite.jpeg", "limestone1.jpg","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://in.linkedin.com/in/amrutha-kp' target='_blank'>Linkedin</a></p>"