recognizer add

app.py

@@ -1,7 +1,27 @@
-import gradio as gr
-
-def greet(name):
-    return "Hello " + name + "!!!"
-
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
+import gradio as gr
+from fastai.vision.all import *
+
+def greet(name):
+    return "Hello " + name + "!!!"
+
+def is_cat(x):
+    return x[0].isupper()
+
+im = PILImage.create("dog.jpg")
+im.thumbnail((192,192))
+learner = load_learner("model.pkl")
+
+categories = ("Dog", "Cat")
+
+def classify_image(img):
+    pred, ind, probs = learner.predict(img)
+    return dict(zip(categories,map(float,probs)))
+
+
+print(classify_image(im))
+
+image = gr.input.Image(shape = (192, 192))
+label = gr.outputs.Label()
+examples = ["dog.jpg", "cat.jpg", "dogcat.jpg"]
+iface = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples =examples)
 iface.launch()