Added first version of app

README.md

@@ -1,8 +1,8 @@
 ---
 title: Mycatdetector
-emoji: 👁
-colorFrom: blue
-colorTo: indigo
+emoji: 
+colorFrom: gray
+colorTo: orange
 sdk: gradio
 sdk_version: 3.43.2
 app_file: app.py

app.py

@@ -0,0 +1,20 @@
+import gradio as gr
+from fastai.vision.all import *
+import skimage
+def is_cat(x): return x[0].isupper() 
+learn = load_learner('export.pkl')
+
+labels = learn.dls.vocab
+def predict(img):
+    img = PILImage.create(img)
+    pred,pred_idx,probs = learn.predict(img)
+    return {labels[i]: float(probs[i]) for i in range(len(labels))}
+
+title = "Mi detector de gatos / My Cat Detector"
+description = "Un modelo de prueba para aprender, siguiendo las instrucciones de la lección 2 del curso de fast.ai. El modelo detecta si la foto es de uno de mis dos gatos. / A test model to learn, following the instructions in lesson 2 of the fast.ai course. The model detects if the picture is one of my two cats."
+article="<p style='text-align: center'><a href='https://papagame.dev/2023/09/mi-detector-de-gatos.html' target='_blank'>Artículo en PapaGameDev</a></p><p style='text-align: center'><a href='https://papagame.dev/2023/09/my-cat-detector.html' target='_blank'>PapaGameDev Blog Post</a></p>"
+examples = ['ori.jpg']
+interpretation='default'
+enable_queue=True
+
+gr.Interface(fn=predict,inputs=gr.inputs.Image(shape=(512, 512)),outputs=gr.outputs.Label(num_top_classes=3),title=title,description=description,article=article,examples=examples,interpretation=interpretation,enable_queue=enable_queue).launch()

export.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:7354857ac2c5a1461676779135eb7b937fd14393256b0465186a9a2e87b24105
+size 47061419

requirements.txt

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+fastai
+scikit-image