update app

app.py

@@ -1,16 +1,14 @@
 from fastai.vision.all import *
 import gradio as gr
 
-learn_meander = load_learner('model_resnet_meander.pkl')
+learn = load_learner('model.pkl')
 
-categories = ('PD', 'Non-PD')
+def classify_img(img):
+    pred,idx,probs = learn.predict(img)
+    return str(pred + ",   probability: " + str(round(torch.max(probs).item(), 4)) )
 
-def classify_image(img):
-    pred,idx,probs = learn_meander.predict(img)
-    return dict(zip(categories, map(float,probs)))
-
-image = gr.inputs.Image(shape=(200,200))
+image = gr.inputs.Image(shape=(192, 192))
 label = gr.outputs.Label()
 
-iface = gr.Interface(fn=classify_image, inputs="text", outputs="text")
-iface.launch(inline=False)
+intf = gr.Interface(fn=classify_img, inputs=image, outputs=label)
+intf.launch(inline=False)