add initial version

.gitattributes

@@ -33,3 +33,9 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+export.pkl filter=lfs diff=lfs merge=lfs -text
+examples/pt-wikipedia.png filter=lfs diff=lfs merge=lfs -text
+examples/ru-rt.png filter=lfs diff=lfs merge=lfs -text
+examples/ru-wikipedia.png filter=lfs diff=lfs merge=lfs -text
+examples/es-wikipedia.png filter=lfs diff=lfs merge=lfs -text
+*.png filter=lfs diff=lfs merge=lfs -text

app.py

@@ -0,0 +1,21 @@
+'''
+    Create an interface for the model using Gradio.
+'''
+
+from fastai.vision.all import *
+import gradio as gr
+
+learn = load_learner("export.pkl")
+
+categories = ("Non-Russian text", "Russian text")
+
+base_path = "examples/"
+examples = ["es-wikipedia.png", "pt-wikipedia.png", "ru-rt.png", "ru-wikipedia.png"]
+examples = [base_path + filename for filename in examples]
+
+def classify_image(img):
+    pred,idx,probs = learn.predict(img)
+    return dict(zip(categories, map(float,probs)))
+
+demo = gr.Interface(fn=classify_image, inputs="image", outputs="text", examples=examples, live=True)
+demo.launch()

export.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8f627239c06f3000493021707ff1fc425bec1798a82a91a19caabda2927dbf1b
+size 354807136

requirements.txt

@@ -0,0 +1 @@
+fastai==2.7.19