update

README.md

@@ -10,10 +10,16 @@ pinned: false
 license: apache-2.0
 ---
 
+# Disclaimer
+Note: This is a reproduction of the amazing blogpost done by tmabraham https://tmabraham.github.io/blog/gradio_hf_spaces_tutorial
+
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces#reference
 
 Steps
 
 - Create a new hf space in your account
 - Install git-lfs in order to manager our large model files. Jeremy provided this script https://gist.github.com/jph00/361a9b868aa3593f3fd8e930d0221266. I had to modify the PREFIX in the install.sh since I do not have enough space in PREFIX location. Instead I changed it to $HOME directory.
+- Add export.pkl manually using the hf space. We can directly push to hub using `push_to_hub_fastai` function provided (see app.py).
+
+
 

app.py

@@ -1,7 +1,9 @@
 import gradio as gr
 from fastai.vision.all import *
+from huggingface_hub import push_to_hub_fastai, from_pretrained_fastai
 import skimage
 
+# Alternatively you can use a pretrained model from huggingface hub
 learn = load_learner('export.pkl')
 
 labels = learn.dls.vocab
@@ -13,8 +15,8 @@ def predict(img):
 title = "Pet Breed Classifier"
 description = "A pet breed classifier trained on the Oxford Pets dataset with fastai. Created as a demo for Gradio and HuggingFace Spaces."
 article="<p style='text-align: center'><a href='https://tmabraham.github.io/blog/gradio_hf_spaces_tutorial' target='_blank'>Blog post</a></p>"
-examples = ['siamese.jpg']
+examples = ['beagle.jpg']
 interpretation='default'
 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()
+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()

requirements.txt

@@ -1,3 +1,5 @@
 fastai
 scikit-image
-gradio
+gradio
+git+https://github.com/huggingface/huggingface_hub
+