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README.md

@@ -1,12 +1,12 @@
 ---
-title: Bird Detector
-emoji: 👀
-colorFrom: blue
-colorTo: red
+title: Bird-Detector
+emoji: 🏆
+colorFrom: gray
+colorTo: purple
 sdk: gradio
-sdk_version: 3.41.2
+sdk_version: 3.27.0
 app_file: app.py
-pinned: false
+pinned: true
 license: apache-2.0
 ---
 

app.py

@@ -0,0 +1,17 @@
+from fastai.vision.all import *
+import gradio as gr
+
+learn = load_learner('model.pkl')
+
+categories = ('Common crested nuthatch', 'Great Spotted Woodpecker', 'Masked wagtail', 'Sparrow', 'Squirrel', 'Tit')
+              
+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 = ['tint.jpeg', 'Common crested nuthatch.jpeg', 'Great Spotted Woodpecker.jpeg']
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=True)
+

requirements.txt

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+fastai
+torch
+gradio
+numpy
+pandas