launch gradio interface

app.py

@@ -18,3 +18,10 @@ def classify(im):
     probs = probability[0].detach().numpy()
     confidences = {label: float(probs[i]) for i, label in enumerate(labels)}
     return confidences
+
+
+interface = gr.Interface(
+    fn=classify, inputs="image", outputs="label", title="Bean leaf classification"
+)
+
+interface.launch(debug=True)