deploy

app.py

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+from fastai.vision.all import *
+import gradio as gr
+
+learn = load_learner('model_convnext_small_in22k_version_1.pkl')
+categories = ("fire", "nofire")
+
+def classify_image(img):
+    pred, idx, prob = learn.predict(img)
+    return dict(zip(categories, map(float, prob)))
+
+img = gr.inputs.Image(shape=(250, 250))
+label = gr.outputs.Label()
+
+gr.Interface(
+    fn=classify_image, 
+    inputs="image", 
+    outputs="label", 
+    interpretation='default').launch()

model_convnext_small_in22k_version_1.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:cd69c4abfc1cd139303e2f8a97c932ac5f7ad0108ae228c46bb2ca6c479beab3
+size 201256745

requirements.txt

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+timm==0.6.5
+fastai==2.7.7
+scikit-image==0.19.3