Classifier

app.py

@@ -1,8 +1,26 @@
-#first app
+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()
+learn = load_learner('model.pkl')
+
+categories = ('Dog', 'Cat')
+
+def classify_image(img):
+    pred, idx, probs = learn.predict(img)
+    
+    return dict(zip(categories, map(float, probs)))
+
+from gradio.components import Image, Label
+
+label = Label()
+image = Image() #shape = (192, 192)
+examples=[
+    "/content/cat.jpg"]
+
+
+intf = gr.Interface(fn = classify_image, inputs = image, outputs = label, examples = examples)
+
+# Launch the web interface with the image and label components
+intf.launch(inline = False)