Update app.ipynb

app.ipynb

@@ -0,0 +1,17 @@
+
+from fastai.vision.all import*
+import gradio as gr
+
+
+learn = load_learner ('model.pkl')
+categories = ('1','2','3','4','5')
+
+def classify_image(img):
+    pred,idx,probs = learn.predict(img)
+    return dict(zip(categories,map(float,probs)))
+
+image = gr.inputs.Image(shape=(192,192))
+label = gr.outputs.Label()
+        
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)