fix blogpost site

.ipynb_checkpoints/app-checkpoint.py

@@ -11,7 +11,7 @@ def predict(img):
     return {labels[i]: float(probs[i]) for i in range(len(labels))}
 
 import os
-for root, dirs, files in os.walk(r'sample_image/'):
+for root, dirs, files in os.walk(r'sample_images/'):
     for filename in files:
         print(filename)
 
@@ -19,7 +19,7 @@ title = "Pet Breed Classifier"
 description = "A pet breed classifier trained on the Oxford Pets dataset"
 interpretation='default'
 examples = ["sample_images/"+file for file in files] 
-article="<p style='text-align: center'><a href='https://dicksonneoh.com' target='_blank'>Blog post</a></p>"
+article="<p style='text-align: center'><a href='https://dicksonneoh.com/pet-classifier/' target='_blank'>Blog post</a></p>"
 enable_queue=True
 
 gr.Interface(fn=predict,inputs=gr.inputs.Image(shape=(512, 512)),outputs=gr.outputs.Label(num_top_classes=3),title=title,description=description,article=article,examples=examples,interpretation=interpretation,enable_queue=enable_queue).launch()

app.py

@@ -11,7 +11,7 @@ def predict(img):
     return {labels[i]: float(probs[i]) for i in range(len(labels))}
 
 import os
-for root, dirs, files in os.walk(r'sample_image/'):
+for root, dirs, files in os.walk(r'sample_images/'):
     for filename in files:
         print(filename)
 
@@ -19,7 +19,7 @@ title = "Pet Breed Classifier"
 description = "A pet breed classifier trained on the Oxford Pets dataset"
 interpretation='default'
 examples = ["sample_images/"+file for file in files] 
-article="<p style='text-align: center'><a href='https://dicksonneoh.com' target='_blank'>Blog post</a></p>"
+article="<p style='text-align: center'><a href='https://dicksonneoh.com/pet-classifier/' target='_blank'>Blog post</a></p>"
 enable_queue=True
 
 gr.Interface(fn=predict,inputs=gr.inputs.Image(shape=(512, 512)),outputs=gr.outputs.Label(num_top_classes=3),title=title,description=description,article=article,examples=examples,interpretation=interpretation,enable_queue=enable_queue).launch()