main3

app.py

@@ -1,8 +1,25 @@
+from fastbook import *
 from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+def is_cat(x): return x[0].isupper()
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+img = PILImage.create(image_cat())
+img.to_thumb(192)
+
+learn = load_learner('/Users/krushn/Downloads/model.pkl')
+
+learn.predict(img)
+
+catagories = ('Dog','Cat')
+def classify_image(img):
+    pred, idx, probs = learn.predict(img)
+    return dict(zip(catagories, map(float, probs)))
+
+image = gr.inputs.Image(shape=(192,192))
+label = gr.outputs.Label()
+examples = ['Ragdoll_235.jpg', 'saint_bernard_28.jpg', 'Ragdoll_254.jpg', 'samoyed_4.jpg','Ragdoll_202.jpg', 'saint_bernard_23.jpg']
+
+
+intf = gr.Interface(fn = classify_image, inputs = image, outputs = label, examples = examples)
+intf.launch(inline =False)