feat: modify interface and add samples

.gitignore

@@ -0,0 +1 @@
+.venv

app.py

@@ -1,7 +1,29 @@
-import gradio as gr
+import gradio
 
-def greet(name):
-    return "Hello " + name + "!!"
+from pathlib import Path
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
+from fastai.vision.all import (
+    load_learner
+)
+import gradio.interface
+
+
+CATEGORIES = ('Damaged', 'Whole')
+MODEL_PATH = Path('.') / 'models'
+TEST_IMAGES_PATH = Path('.') / 'test'
+LEARNER = load_learner(MODEL_PATH / 'car-damage-detection_v1.pkl')
+
+
+def categorize_image(image):
+    prediction, index, probabilities = LEARNER.predict(image)
+    return dict(zip(CATEGORIES, map(float, probabilities)))
+
+
+print([image for image in TEST_IMAGES_PATH.ls()])
+demo = gradio.Interface(
+    categorize_image,
+    inputs='image',
+    outputs='label',
+    examples=[image for image in TEST_IMAGES_PATH]
+)
 demo.launch()

models/car-damage-detection_v1.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c5dd4ec7a048e667ce711de250fb1df73ba68b6f799c248e2e17d070c770eee0
+size 87513070