app + images

.gitignore

@@ -0,0 +1,11 @@
+*.pkl
+.gitattributes
+models/
+tmp/
+*.bak
+*.pkl
+bears/
+__pycache__/
+.last_checked
+.gitconfig
+.ipynb_checkpoints/

app.py

@@ -0,0 +1,20 @@
+import gradio as gr
+from fastai.vision.all import *
+import gradio as gr
+from glob import glob
+
+learn = load_learner('model_ft15(extra).pkl')
+
+def classify_image(img):
+    pred,idx,probs = learn.predict(img)
+    return dict(zip(categories, map(float,probs)))
+
+image = gr.inputs.Image(shape=(192, 192))
+label = gr.outputs.Label()
+examples = []
+for image in glob('./anime_character_recognizer/examples/*'):
+    transition_name = re.sub('./anime_character_recognizer/examples/', '', image)
+    examples.append(transition_name)
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)