V1

First version of app

app.py

@@ -1,7 +1,21 @@
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+from fastai.vision.all import *
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
-demo.launch()
+# load model
+learn = load_learner('model.pkl')
+
+categories = ('CLEAR', 'PNEUMONIA')
+
+def classify_image(img):
+    pred, idx, probs = learn.predict(img)
+    return dict(zip(categories, map(float, probs)))
+
+examples = ['./unseen_data/NORMAL/NORMAL2-IM-1427-0001.jpeg', 
+            './unseen_data/PNEUMONIA/person1946_bacteria_4874.jpeg',
+            './unseen_data/NORMAL/NORMAL2-IM-1430-0001.jpeg',
+            './unseen_data\PNEUMONIA\person1946_bacteria_4875.jpeg']
+
+intf = gr.Interface(fn=classify_image, inputs=gr.Image(type='pil'), outputs=gr.Label(), examples=examples)
+
+intf.launch(inline=False)

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c83d4b20ba564f59d4ae44fee161a73d859c60645d703a6ce6f3d7318fc79ff2
+size 87559486