Merge branch 'main' of hf.co:spaces/radatia/minimal into main

app.py

@@ -2,6 +2,7 @@ import gradio as gr
 from fastai.vision.all import *
 import skimage
 
+<<<<<<< HEAD
 learn = load_learner('model.pkl')
 
 labels = learn.dls.vocab
@@ -10,6 +11,19 @@ def predict(img):
     pred,pred_idx,probs = learn.predict(img)
     return {labels[i]: float(probs[i]) for i in range(len(labels))}
 
+=======
+def is_cat(x):
+    return x[0].isupper()
+
+learn = load_learner('model.pkl')
+
+labels = learn.dls.vocab
+def predict(img):
+    img = PILImage.create(img)
+    pred,pred_idx,probs = learn.predict(img)
+    return {labels[i]: float(probs[i]) for i in range(len(labels))}
+
+>>>>>>> d26be9f828be2719f155927ee31381a78ee309a2
 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>"
@@ -17,4 +31,22 @@ examples = ['siamese.jpg']
 interpretation='default'
 enable_queue=True
 
+<<<<<<< HEAD
 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()
+=======
+image = gr.Image(height=192, width=192)
+label = gr.Label(num_top_classes=3)
+examples = ['dog.jpeg', 'cat.jpeg', 'dogcat.jpeg']
+
+intf = gr.Interface(
+    fn=predict,
+    inputs=image,
+    outputs=label,
+    examples=examples,
+    title='Cat or Dog Classifier',
+    description='This is a cat or dog classifier. Upload an image of a cat or dog and it will predict which it is.'
+)
+intf.launch()
+
+# gr.Interface(fn=predict,inputs=gr.components.Image(height=512, width=512),outputs=gr.components.Label(num_top_classes=3),title=title,description=description,article=article,examples=examples,interpretation=interpretation,enable_queue=enable_queue).launch()
+>>>>>>> d26be9f828be2719f155927ee31381a78ee309a2

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7375d58771959f253b5fcce261d2116525f917cd9543dfb81ef31f79877818e7
+size 47064894

requirements.txt

@@ -0,0 +1,2 @@
+fastai
+scikit-image