model file inlcuded, app updated

app.py

@@ -1,6 +1,19 @@
 import gradio as gr
+from fastai.vision.all import *
 
-def greet(name):
-    return "Hello " + name + "!!"
+# load the trained model
+learn = load_learner('model.pkl')
 
-gr.Interface(fn=greet, inputs="text", outputs="text").launch()
+categories = ['ironman','hulk','captain america','captain marvel','thanos','thor','vision','ant man','black panther','black widow','doctor strange','spiderman']
+
+def classify_image(img):
+    pred, idx, probab = learn.predict(img)
+    return dict(zip(categories, map(float, probab)))
+
+image = gr.inputs.Image(shape=(192,192))
+label = gr.outputs.Label()
+examples = ['ironman.jpg','hulk.jpg','captainamerica.jpg','captainmarvel.jpg','thanos.jpg',
+'thor.jpg','vision.jpg','ant man.jpg','blackpanther.jpg','blackwidow.jpg','doctorstrange.jpg','spiderman.jpg']
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bf5fef21c246d7f562c4fa96ffda24cacc4e7c2ab3fa992ed0067a9ddc479243
+size 87486117