test

app.py

@@ -1,7 +1,21 @@
 import gradio as gr
+from fastai.vision.all import *
 
-def greet(name):
-    return "Hello " + name + "!!"
+path = Path()
+learn_inf = load_learner(path / 'export.pkl')
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+labels = ['beach', 'field', 'lake']
+
+def predict(img):
+    img = PILImage.create(img)
+    pred, pred_idx, probs = learn_inf.predict(img)
+    return {labels[i]: float(probs[i]) for i in range(len(labels))}
+
+
+gr_interface = gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(512, 512)),
+                            outputs=gr.outputs.Label(num_top_classes=len(labels)), interpretation="default")
+
+gr_interface = gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(512, 512)),
+                            outputs=gr.outputs.Label(num_top_classes=len(labels)),
+                            interpretation="default")
+gr_interface.launch()