article added

app.py

@@ -14,7 +14,7 @@ def predict(img):
     return {labels[i]: float(probs[i]) for i in range(len(labels))}
 
 title = "<div style='text-align:center'> Rock classifier</div>"
-examples = ["basalt.jpeg","coal.jpeg","granite.jpeg", "limestone1.jpeg","marble1.jpeg","quartzite.jpeg","sandstone4.jpeg"]
+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://www.linkedin.com/in/amrutha-kp/' target='_blank'>Linkedin</a></p>"