Add application file

.gitattributes

@@ -32,3 +32,4 @@ 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
+*.pk3 filter=lfs diff=lfs merge=lfs -text

app.py

@@ -0,0 +1,38 @@
+from fastai.vision.all import *
+import gradio as gr
+from duckduckgo_search import ddg_images
+from fastdownload import download_url
+
+
+def find_image(img):
+    return L(ddg_images(img, max_results=1)).itemgot('image')
+
+
+showcase_imgs = ["tomato", "apple", "lemon"]
+
+
+def showcase(imgs):
+    for i in imgs:
+        url = find_image(i)
+        dest = f'./{i}.jpg'
+        download_url(url[0], dest, show_progress=False)
+
+
+learner = load_learner("./model3.pk3")
+
+labels = learner.dls.vocab
+
+
+def predict(img):
+    img = PILImage.create(img)
+    pred, pred_idx, probs = learner.predict(img)
+    return {labels[i]: float(probs[i]) for i in range(len(labels))}
+
+
+image = gr.inputs.Image(shape=(192, 192))
+label = gr.outputs.Label()
+examples = ['tomato.jpg', 'lemon.jpg', 'apple.jpg']
+
+interface = gr.Interface(fn=predict, inputs=image,
+                         outputs=label, examples=examples)
+interface.launch(inline=False)

model3.pk3

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:27b2a78fcdb7258f270d58bebdda4834c59939b720cc39673a04596f29f42802
+size 47062037

requirements.txt

@@ -0,0 +1,3 @@
+fastai
+gradio
+duckduckgo_search