create app

app.py

@@ -0,0 +1,25 @@
+__all__ = ['learn', 'classify_image', 'categories', 'image', 'label', 'examples', 'intf', 'multi_classifycation']
+
+from fastai.vision.all import *
+import gradio as gr
+import timm
+
+#load model
+learn = load_learner('convnext_tiny_for_paddy_disease.pkl')
+
+categories = learn.dls.vocab
+
+def tensor2labels(img):
+    pred = learn.predict(img)
+    predict = torch.where(pred[1].sigmoid()>0.4)[0]
+    return categories[predict]
+
+
+gr.components
+
+image = gr.inputs.Image(shape=(192, 192))
+label = gr.outputs.Label()
+examples = []
+
+intf = gr.Interface(fn=tensor2labels, inputs=image, outputs=label, examples=examples)
+intf.launch()