Create app.py

app.py

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+import gradio as gr
+from fastai.vision.all import *
+import skimage
+
+
+learn = load_learner('model.pkl')
+#from huggingface_hub import from_pretrained_fastai
+#learn = from_pretrained_fastai("devdatanalytics/commonbean")
+
+labels = learn.dls.vocab
+def predict(img):
+    img = PILImage.create(img)
+    pred,pred_idx,probs = learn.predict(img)
+    return {labels[i]: float(probs[i]) for i in range(len(labels))}
+
+#title = "Common beans diseases classfier"
+#description = "An app for Common beans diseases Classisfication"
+#article="<p style='text-align: center'>The app identifies and classifies common beans diseases: Anthracnose and Bean rust.</p>"
+# Create the Gradio interface
+interface = gr.Interface(
+    fn=predict,
+    inputs=gr.Image(),
+    outputs=gr.Label(num_top_classes=3)
+)
+
+# Enable the queue to handle POST requests
+interface.queue(api_open=True)
+
+# Launch the interface
+interface.launch()