Added models and images

app.py

@@ -1,9 +1,30 @@
+# AUTOGENERATED! DO NOT EDIT! File to edit: ../fire_detector_gradio.ipynb.
+
+# %% auto 0
+__all__ = ['learner', 'categories', 'image', 'label', 'examples', 'intf', 'classify_image']
+
+# %% ../fire_detector_gradio.ipynb 1
+from fastai.vision.all import load_learner
 import gradio as gr
 
+# %% ../fire_detector_gradio.ipynb 3
+learner = load_learner("model.pkl")
+
+# %% ../fire_detector_gradio.ipynb 4
+categories = ('fireplace fire', "building fire", "wild fire", "lithium battery fire", "bonfire")
+
+
+def classify_image(im):
+    pred, idx, probs = learner.predict(im)
+    return dict(zip(categories, map(float, probs)))
+
 
-def greet(name):
-    return "Hello " + name + "!!"
+# %% ../fire_detector_gradio.ipynb 6
+image = gr.inputs.Image(shape=(256, 256))
+label = gr.outputs.Label()
+examples = ["wildfire.jpg", "bonfire.jpg", "fireplace.jpg", "lithium.jpg"]
 
+intf = gr.Interface(fn=classify_image, inputs=image,
+                    outputs=label, examples=examples)
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+intf.launch(inline=False)

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6ed2906ec88c71483873cb691799f1d2efae2da827ce9c263c95bd3f77b32af8
+size 46989931