Update app.py

app.py

@@ -2,7 +2,7 @@ import gradio as gr
 from fastai.vision.all import *
 import skimage
 
-learn = load_learner('learner.pkl')
+learn = load_learner('export.pkl')
 
 labels = learn.dls.vocab
 def predict(img):
@@ -15,11 +15,11 @@ for root, dirs, files in os.walk(r'sample_images/'):
     for filename in files:
         print(filename)
 
-title = "Rice Disease Classifier"
-description = "A rice disease classifier that can detect 3 diseases - blast, blight, tungro"
+title = "Paddy Disease Classifier with EdgeNeXt"
+description = "A paddy disease classifier. 9 Diseases + 1 Normal class."
 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/portfolio/pytorch_at_the_edge_timm_torchscript_flutter/' target='_blank'>Blog post</a></p>"
 enable_queue=True
 
 gr.Interface(fn=predict,inputs=gr.inputs.Image(shape=(384, 384)),outputs=gr.outputs.Label(num_top_classes=3),title=title,description=description,article=article,examples=examples,interpretation=interpretation,enable_queue=enable_queue, theme="grass").launch()