added model, created py script

.gitignore

@@ -0,0 +1 @@
+env

app.py

@@ -1,7 +1,18 @@
 import gradio as gr
+from fastai.vision.all import *
+from fastbook import *
+from fastai.vision.widgets import *
+import gradio as gr
+
+
+learn_inf = load_learner('export.pkl')
+
+categories = ("maxi", "kairat")
 
-def greet(name):
-    return "Hello " + name + "!!"
+def classify_image(img):
+    pred,idx,probs = learn_inf.predict(img)
+    return dict(zip(categories, map(float, probs)))
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+examples = ["maxi.jpg", "kairat.jpeg"]
+intf = gr.Interface(fn=classify_image, inputs=gr.inputs.Image(shape=(192, 192)), outputs=gr.outputs.Label(), examples=examples)
+intf.launch(inline=False,share=True)

export.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0800f67ccc5fa6c764d436d8966d7543fa28d9c2f429e7d9294f4c5b7a50e1ae
+size 46964670