Upload app.py

app.py

@@ -0,0 +1,25 @@
+# AUTOGENERATED! DO NOT EDIT! File to edit: . (unless otherwise specified).
+
+__all__ = ['learn', 'classify_image', 'categories', 'image', 'label', 'examples', 'intf']
+
+# Cell
+from fastai.vision.all import *
+import gradio as gr
+
+
+# Cell
+learn=load_learner("metamodel.pkl")
+
+# Cell
+categories = ("Foundation Pouring","Frame Installation","Land Excavation")
+
+def classify_image(img):
+    pred, idx, probs = learn.predict(img)
+    return dict(zip(categories, map(float, probs)))
+
+# Cell
+image = gr.Inputs.Image(shape=(512,512))
+label = gr.Outputs.Label()
+examples = ['FoundationPouring00.PNG','FrameInstallation00.PNG','LandExcavation00.PNG']
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)