app and model

Rotifer_Classifier.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2e4b937ff13c1ed34a79ac9585993e12b7c31d62f605bccd18a85ac3f59e6474
+size 114631857

app.py

@@ -1,7 +1,25 @@
-import gradio as gr
-
-def greet(name):
-    return "Hello " + name + "!!"
-
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+# AUTOGENERATED! DO NOT EDIT! File to edit: ../app.ipynb.
+
+# %% auto 0
+__all__ = ['learn', 'categories', 'image', 'label', 'intf', 'classify_image']
+
+# %% ../app.ipynb 1
+from fastai.vision.all import *
+import gradio as gr
+
+# %% ../app.ipynb 3
+learn = load_learner("Rotifer_Classifier.pkl")
+
+# %% ../app.ipynb 5
+categories = ("Bdelloid Rotifer", "Monogonont Rotifer")
+
+def classify_image(img):
+    pred, idx, probs = learn.predict(img)
+    return dict(zip(categories, map(float,probs)))
+
+# %% ../app.ipynb 7
+image = gr.inputs.Image(shape=(192,192))
+label = gr.outputs.Label()
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label)
+intf.launch(inline=False)