change the article and description html

app.py

@@ -1,7 +1,7 @@
 # AUTOGENERATED! DO NOT EDIT! File to edit: ../weed_classifier.ipynb.
 
 # %% auto 0
-__all__ = ['learn', 'labels', 'title', 'description', 'article', 'examples', 'interpretation', 'enable_queue', 'predict']
+__all__ = ['learn', 'labels', 'title', 'description', 'examples', 'interpretation', 'enable_queue', 'predict']
 
 # %% ../weed_classifier.ipynb 1
 from fastai.vision.all import *
@@ -18,11 +18,12 @@ def predict(img):
     pred,pred_idx,probs = learn.predict(img)
     return {labels[i]: float(probs[i]) for i in range(len(labels))}
 
-# %% ../weed_classifier.ipynb 5
+# %% ../weed_classifier.ipynb 6
 title = "Weed Classifier"
-description = "A weed classifier trained on the Kaggle V2 Plant Seedling dataset with fastai. Dataset has mostly african weeds in it at the moment."
-article="<p style='text-align: center'><a href='https://tmabraham.github.io/blog/gradio_hf_spaces_tutorial' target='_blank'>Blog post</a></p>"
+description = "<h3 style='text-align: center'>A weed classifier trained on the Kaggle V2 Plant Seedling dataset with fastai.</h3>"
 examples = ['SugarBeet.png']
 interpretation='default'
 enable_queue=True
+
+# %% ../weed_classifier.ipynb 7
 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).launch(enable_queue=enable_queue)