add new files

app.py

@@ -1,7 +1,18 @@
+from fastai.vision.all import *
+import skimage
+
 import gradio as gr
 
-def greet(name):
-    return "Hello there " + name + "!!"
+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))}
+
+    learn = load_learner('export_pets.pkl') #this is a kinda dog detector it seems
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
-demo.launch()
+    gr.Interface(fn=predict,
+             title="Pet Breed Classifier",
+             description="Pet breed classifier using Oxford Pets Database. Test for Gradio and HuggingFace",
+             inputs=gr.Image(width=512, height=512), #this is the proper syntax for images not the (shape=(xxx,xxx))
+             outputs=gr.Label(num_top_classes=3)).launch(share=True)

export_pets.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:59a5c70cb5310ce479dc6cbe8b1df64e680b5574af50ea2b6bb0867a1cfd727e
+size 103052844

requirements.txt

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