update .gitattributes so git lfs will track .pkl files

app.py

@@ -6,17 +6,22 @@ from PIL import Image
 
 learn = load_learner('model.pkl')
 
+
 labels = learn.dls.vocab
-def predict(img):
-    img = Image.open(img)
-    pred,pred_idx,probs = learn.predict(img)
-    return {labels[i]: float(probs[i]) for i in range(len(labels))}
 
-title = "Shark vs Bird Classifier"
-description = "A Shark vs Bird classifier trained using Duck Duck Go search engine with fastai. Created as a demo for Gradio and HuggingFace Spaces."
+def greet(name): return f"Hello {name}!"
+gr.Interface(fn=greet, inputs="text", outputs="text").launch()
+
+# def predict(img):
+#     img = Image.open(img)
+#     pred,pred_idx,probs = learn.predict(img)
+#     return {labels[i]: float(probs[i]) for i in range(len(labels))}
+
+# title = "Shark vs Bird Classifier"
+# description = "A Shark vs Bird classifier trained using Duck Duck Go search engine with fastai. Created as a demo for Gradio and HuggingFace Spaces."
 
-examples = ['shark.jpg', 'bird.jpg']
-interpretation='default'
-enable_queue=True
+# examples = ['shark.jpg', 'bird.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,examples=examples,interpretation=interpretation,enable_queue=enable_queue).launch()
+# gr.Interface(fn=predict,inputs=gr.inputs.Image(shape=(512, 512)),outputs=gr.outputs.Label(num_top_classes=3),title=title,description=description,examples=examples,interpretation=interpretation,enable_queue=enable_queue).launch()