gradio app for checking our photo quality

app.py

@@ -1,7 +1,18 @@
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+learn = load_learner('photos.pkl')
+labels = learn.dls.vocab
+
+def predict(img):
+    img = PILImage.create(img)
+    pred, pred_idx, probs = learn.predict(img)
+    return dict(zip(labels, map(float, probs)))
+
+iface = gr.Interface(
+    fn=predict,
+    inputs=gr.inputs.Image(shape=(512,512)),
+    outputs=gr.outputs.Label(num_top_classes=3)
+)
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
 iface.launch()

photos.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:eaa9ebceef712ca26cbc459b820b7eea056e7db2b2fe967e49811e8a8a9a3124
+size 87728363

requirements.txt

@@ -0,0 +1,3 @@
+fastai
+gradio
+scikit-image