set up git + initial gradio code

.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
+*.jpeg filter=lfs diff=lfs merge=lfs -text

.gitignore

@@ -0,0 +1 @@
+__pycache__

README.md

@@ -1,8 +1,8 @@
 ---
-title: Harry Potter Character Classifier
-emoji: 📚
+title: Harry Potter Actor Classifier
+emoji: 👁
 colorFrom: blue
-colorTo: gray
+colorTo: red
 sdk: gradio
 sdk_version: 3.3.1
 app_file: app.py

app.py

@@ -0,0 +1,25 @@
+from fastai.vision.all import *
+import gradio as gr
+
+title = "Harry Potter Character classifier"
+description = "A Harry Potter Character classifier trained with over 3000 images from the internet!"
+article = "<p style='text-align: center'><a href='https://aldrinjenson.me' target='_blank'>Created by Aldrin Jenson</a></p>"
+examples = ['sample_images/daniel_radcliffe-000360.jpeg', 'sample_images/daniel_radcliffe-000003.jpeg', 'sample_images/daniel_radcliffe-000362.jpeg', 'sample_images/lunaLovegood-000003.jpeg', 'sample_images/groupPhoto-000426.jpeg', 'sample_images/daniel_radcliffe-000504.jpeg', 'sample_images/dracoMalfoy-000002.jpeg', 'sample_images/ginnyweasly-000365.jpeg', 'sample_images/daniel_radcliffe-000324.jpeg', 'sample_images/ginnyweasly-000328.jpeg', 'sample_images/hermionie-000001.jpeg', 'sample_images/ginnyweasly-000003.jpeg', 'sample_images/ginnyweasly-000404.jpeg', 'sample_images/lunaLovegood-000001.jpeg', 'sample_images/lunaLovegood-000002.jpeg',
+            'sample_images/dracoMalfoy-000003.jpeg', 'sample_images/daniel_radcliffe-000001.jpeg', 'sample_images/groupPhoto-000423.jpeg', 'sample_images/daniel_radcliffe-000004.jpeg', 'sample_images/daniel_radcliffe-000466.jpeg', 'sample_images/ginnyweasly-000002.jpeg', 'sample_images/daniel_radcliffe-000202.jpeg', 'sample_images/groupPhoto-000515.jpeg', 'sample_images/groupPhoto-000464.jpeg', 'sample_images/ginnyweasly-000317.jpeg', 'sample_images/ginnyweasly-000001.jpeg', 'sample_images/daniel_radcliffe-000381.jpeg', 'sample_images/ginnyweasly-000139.jpeg', 'sample_images/ginnyweasly-000388.jpeg', 'sample_images/daniel_radcliffe-000002.jpeg']
+interpretation = 'default'
+enable_queue = True
+
+
+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))}
+
+
+interface = gr.Interface(fn=predict, inputs=gr.components.Image(shape=(512, 512)), outputs=gr.components.Label(
+    num_top_classes=4), title=title, description=description, article=article, examples=examples, interpretation=interpretation)
+interface.launch(share=True, enable_queue=enable_queue)

requirements.txt

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+fastai