test

app.py

@@ -1,7 +1,25 @@
 import gradio as gr
+from fastai.vision.all import *
 
 def greet(name):
     return "Hello " + name + "!!"
 
+learn = load_learner("model.pkl");
+
+def is_cat(x): return x[0].isupper()
+
+
+categories = {"No_Cat","Cat"}
+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 = ["WX20240713-091831@2x.png","WX20240713-091821@2x.png","WX20240713-091430@2x.png","WX20240713-090252@2x.png"]
+intf = gr.Interface(fn=classify_image,inputs = image,outputs = label,examples = examples)
+intf.launch(inline=False)
+
+
 demo = gr.Interface(fn=greet, inputs="text", outputs="text")
 demo.launch()