Add code in app.py

app.py

@@ -0,0 +1,26 @@
+import fastai.vision.all import *
+import gradio as gr
+
+learn = load_learner("model_tvdesktop.pkl")
+labels = learn.dls.vocab
+
+def classify_image(img):
+    img = PILImage.create(img)
+    pred, idx, probs = learn.predict(img)
+    return dict(zip(labels, map(float, probs)))
+
+image = gr.inputs.Image(shape=(224, 224))
+label = gr.outputs.Label()
+
+title = "CRT TV and Desktop Monitor Classifier"
+description = "A simple image classifier."
+
+intf = gr.Interface(
+    fn=classify_image,
+    inputs=image,
+    outputs=label,
+    title=title,
+    description=description
+)
+
+intf.launch(inline=False)