add model

README.md

@@ -1,7 +1,7 @@
 ---
-title: Bird Demo
-emoji: 🐢
-colorFrom: green
+title: Birds
+emoji: 📊
+colorFrom: gray
 colorTo: blue
 sdk: gradio
 sdk_version: 3.1.2

app.py

@@ -0,0 +1,31 @@
+import gradio as gr
+from fastai.vision.all import *
+
+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 = "Bird or Not Classifier"
+description = "A bird or not classifier trained with downloaded data from internet. Created as a demo for Gradio and HuggingFace Spaces."
+
+examples = ["bird.jpg", "forest.jpg", "teddy.jpg"]
+interpretation = "default"
+enable_queue = True
+
+gr.Interface(
+    fn=predict,
+    inputs=gr.inputs.Image(shape=(512, 512)),
+    outputs=gr.outputs.Label(num_top_classes=2),
+    title=title,
+    description=description,
+    examples=examples,
+    interpretation=interpretation,
+    enable_queue=enable_queue,
+).launch()

export.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0c4296d2342e7acc71fb94c54dfab4fbee014b9731e51414a59c9aa9639a5b36
+size 46964769

requirements.txt

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