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app.py

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+import gradio as gr
+import tensorflow as tf
+import numpy as np
+import json
+from PIL import Image
+
+model = tf.keras.models.load_model("model")
+
+with open("class_names.json") as f:
+    class_names = json.load(f)
+
+def predict(img):
+    img = img.resize((224,224))
+    img = np.array(img) / 255.0
+    img = np.expand_dims(img, axis=0)
+    pred = model.predict(img)
+    return class_names[np.argmax(pred)]
+
+gr.Interface(
+    fn=predict,
+    inputs=gr.Image(type="pil"),
+    outputs="label",
+    title="Plant Disease Classifier"
+).launch()