Upload folder using huggingface_hub

.gitattributes

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README.md

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----
-title: Bear Classifier
-emoji: 🏆
-colorFrom: blue
-colorTo: purple
-sdk: gradio
-sdk_version: 6.12.0
-app_file: app.py
-pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+---
+title: Bear Classifier
+emoji: 🏆
+colorFrom: blue
+colorTo: purple
+sdk: gradio
+sdk_version: 6.12.0
+app_file: app.py
+pinned: false
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import gradio as gr
+from fastai.vision.all import *
+
+# Load the model
+learn = load_learner('export.pkl')
+labels = learn.dls.vocab
+
+def predict(img):
+    img = PILImage.create(img)
+    pred, pred_idx, probs = learn.predict(img)
+    return {labels[i]: float(probs[i]) for i in range(len(labels))}
+
+# Define the Gradio interface
+interface = gr.Interface(
+    fn=predict,
+    inputs=gr.Image(type="pil"),
+    outputs=gr.Label(num_top_classes=3),
+    title="Bear Classifier",
+    description="Upload an image to see if it's a Grizzly, Black, or Teddy bear!"
+)
+
+interface.launch()

export.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:2b38ed91103fcdcd31f50c338d5fde42a4978d697ba153ce1d4736ea8d714a04
+size 46964571

requirements.txt

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+fastai
+gradio
+torch