update app

app.py

@@ -1,12 +1,46 @@
+# import gradio as gr
+
+# def greet(name):
+#     return "Hello " + name + "!! (welcome to testing)"
+
+# iface = gr.Interface(
+#     fn = greet, 
+#     inputs = "text", 
+#     outputs = "text"
+# )
+
+# iface.launch(share = True)
+
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!! (welcome to testing)"
+def is_cat(x):
+    return x[0].isupper()
 
-iface = gr.Interface(
-    fn = greet, 
-    inputs = "text", 
-    outputs = "text"
-)
+#|export
+dog_path = 'aku.jpeg'
+cat_path = 'munchkin.jpeg'
+dunno_path = 'dunno.jpeg'
 
-iface.launch(share = True)
+model_path = 'model.pkl'
+learn = load_learner(model_path)
+
+#|export
+categories = ('Dog', 'Cat')
+
+def classify_image(image):
+    predict, index, probabilities = learn.predict(image)
+    output = dict(zip(categories, map(float, probabilities)))
+    return output
+
+image = gr.Image() # image = gr.inputs.Image(shape = (192, 192))
+label = gr.Label() # label = gr.Label()
+examples = [dog_path, cat_path, dunno_path] # examples = ['aku.jpeg', 'munchkin.jpeg', 'dunno.jpeg']
+
+interface = gr.Interface(
+    fn = classify_image,
+    inputs = image,
+    outputs = label,
+    examples = examples
+)
+interface.launch(inline = False, share = True)

fastai_course.code-workspace

@@ -0,0 +1,11 @@
+{
+	"folders": [
+		{
+			"path": "../fastai_course"
+		},
+		{
+			"path": "."
+		}
+	],
+	"settings": {}
+}