Initial commit

.gitattributes

@@ -29,3 +29,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+model.pkl filter=lfs diff=lfs merge=lfs -text

.gitignore

@@ -0,0 +1 @@
+.history/**

README.md

@@ -1,8 +1,8 @@
 ---
 title: Bird
-emoji: 🐨
-colorFrom: gray
-colorTo: red
+emoji: 🏢
+colorFrom: red
+colorTo: purple
 sdk: gradio
 sdk_version: 3.3.1
 app_file: app.py

app.py

@@ -0,0 +1,9 @@
+from bird_classifier import *
+import gradio as gr
+
+iface = gr.Interface(fn=classify_image, 
+                     inputs=gr.Image(shape=(256,256)), 
+                     outputs=gr.Label(),
+                     examples=['bird.jpg'])
+
+iface.launch(share=False)

bird_classifier.py

@@ -0,0 +1,42 @@
+# ---
+# jupyter:
+#   jupytext:
+#     cell_metadata_filter: -all
+#     custom_cell_magics: kql
+#     text_representation:
+#       extension: .py
+#       format_name: percent
+#       format_version: '1.3'
+#       jupytext_version: 1.11.2
+#   kernelspec:
+#     display_name: Python 3.9.14 64-bit
+#     language: python
+#     name: python3
+# ---
+
+# %%
+from fastai.vision.all import *
+
+# %%
+learn = load_learner("model.pkl")
+
+# %%
+categories = ("Bird", "Forest")
+
+# %%
+def classify_image(img):
+    pred,idx,probs = learn.predict(img)
+    print(probs)
+    print(*map(float,probs))
+    print(*zip(categories, map(float,probs)))
+    print(dict(zip(categories, map(float,probs))))
+    return dict(zip(categories, map(float,probs)))
+
+# %% [markdown]
+#
+# im = PILImage.create("bird.jpg")
+# im.to_thumb(256, 256)
+# im
+
+# %% [markdown]
+# classify_image(im)

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:93ffba4b49318812ed7d8763a4ffc607634f8d2ba94a573ec4a82190e9c73a4f
+size 46959791

requirements.txt

@@ -0,0 +1 @@
+fastai