Initial push

README.md

@@ -1,8 +1,8 @@
 ---
-title: Print Predict
-emoji: 🐢
+title: Print Type Classifier
+emoji: 🔥
 colorFrom: purple
-colorTo: blue
+colorTo: purple
 sdk: gradio
 sdk_version: 3.28.3
 app_file: app.py

app.py

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+import gradio as gr
+from fastai.vision.all import *
+
+learn_inf = load_learner('model.pkl')
+
+features = learn_inf.dls.vocab
+
+def predict_image(image):
+    pred_class, pred_idx, probs = learn_inf.predict(image)
+    return {str(features[i]): float(probs[i]) for i in range(len(learn_inf.dls.vocab))}
+
+input_image = gr.inputs.Image(shape=(None, None))
+output_label = gr.outputs.Label(num_top_classes=3)
+
+gr.Interface(fn=predict_image,
+             inputs=input_image,
+             outputs=output_label,
+             title="Image Classifier",
+             description=f"Upload an image to classify it into one of the following categories: {' | '.join([f'{item}' for item in features])}",
+             capture_session=True).launch()

model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:223338e7345c9f0f5b35ee280104cc1029b901a81520abaae1f52b106ce72ebd
+size 47019183

requirements.txt

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+gradio == 3.28.3
+fastai == 2.7.12