Upload app.py

app.py

@@ -1,7 +1,49 @@
+from fastai.vision.all import load_learner
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+snake_labels = {
+    "Python",
+    "Rattle",
+    "Cobra",
+    "Anaconda",
+    "Black Mamba",
+    "King Cobra",
+    "Coral Snake",
+    "Water Snake",
+    "Sea Snake",
+    "Bushmaster",
+    "Rat Snake",
+    "Parot Snake",
+    "Lora"
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+
+}
+model =load_learner('models/snake-recognizer-v1.pkl')
+
+
+def recognize_image(image):
+  pred, idx, probs = model.predict(image)
+  return dict(zip(snake_labels, map(float, probs)))
+
+
+
+image = gr.Image()
+label = gr.Label()
+examples = [
+
+    'test_images/test_image1.jpg',
+    'test_images/test_image2.jpg',
+    'test_images/test_image3.jpg',
+    'test_images/test_image4.jpg',
+    'test_images/test_image5.jpg',
+    'test_images/test_image6.jpg',
+    'test_images/test_image7.jpg',
+    'test_images/test_image8.jpg',
+    'test_images/test_image9.png',
+    'test_images/test_image10.jpg',
+    'test_images/test_image11.JPG',
+    'test_images/test_image12.jpg',
+
+    ]
+iface = gr.Interface(fn=recognize_image, inputs=image, outputs=label, examples=examples)
+iface.launch(inline=False, share=True)