all files

app.py

@@ -1,7 +1,31 @@
 import gradio as gr
+from fastai.vision.all import *
 
-def greet(name):
-    return "Hello " + name + "!!"
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+# Define a function for determining if image is a cat
+def is_cat(x):
+    return x[0].isupper()
+
+
+# Load pretrained model
+learn = load_learner("model.pkl")
+
+categories = ("Dog", "Cat")
+
+
+def classify_image(img):
+    """
+    Classify an image as a dog or cat.
+    :param img: Image to classify
+    :return: Dictionary of probabilities for each class
+    """
+    pred, pred_idx, probs = learn.predict(img)
+    return dict(zip(categories, map(float, probs)))
+
+
+image = gr.inputs.Image(shape=(224, 224))
+label = gr.outputs.Label()
+examples = ["dog.jpg", "cat.jpg", "tiger.jpg", "wolf.jpg"]
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch()